Merge pull request #1574 from CREDO23/feature-mcp-server

[Feat] MCP: Add SurfSense MCP server for scrapers, KB, and workspaces
2026-07-08 22:22:17 +02:00 · 2026-07-05 20:48:15 -07:00 · 2026-07-05 20:48:15 -07:00 · dec4cd9a0d
commit dec4cd9a0d
parent 7af3f535fc faa6d6baea
28 changed files with 2547 additions and 2 deletions
--- a/surfsense_backend/app/routes/documents_routes.py
+++ b/surfsense_backend/app/routes/documents_routes.py
@ -667,6 +667,102 @@ async def search_documents(
        ) from e


+class SemanticSearchRequest(PydanticBaseModel):
+    """Request body for hybrid (semantic + keyword) knowledge-base search."""
+
+    workspace_id: int
+    query: str = Field(min_length=1)
+    top_k: int = Field(default=5, ge=1, le=20)
+    document_types: list[str] | None = Field(
+        default=None,
+        description="Optional DocumentType names to restrict the search to.",
+    )
+
+
+class SemanticSearchChunk(PydanticBaseModel):
+    content: str
+    position: int
+    score: float
+
+
+class SemanticSearchHit(PydanticBaseModel):
+    document_id: int
+    title: str
+    document_type: str | None = None
+    score: float
+    chunks: list[SemanticSearchChunk]
+
+
+class SemanticSearchResponse(PydanticBaseModel):
+    items: list[SemanticSearchHit]
+
+
+@router.post("/documents/search-semantic", response_model=SemanticSearchResponse)
+async def search_documents_semantic(
+    request: SemanticSearchRequest,
+    session: AsyncSession = Depends(get_async_session),
+    auth: AuthContext = Depends(get_auth_context),
+):
+    """Hybrid semantic + keyword search over a workspace's knowledge base.
+
+    Thin REST door onto the same retriever the chat agent uses: returns the most
+    relevant documents with their matching passages, ranked by relevance.
+    Requires DOCUMENTS_READ permission for the workspace.
+    """
+    # Local import: the retriever pulls in the embedding model + agent stack,
+    # so keep it out of module import (mirrors the celery-task imports here).
+    from app.agents.chat.multi_agent_chat.shared.retrieval.hybrid_search import (
+        search_chunks,
+    )
+    from app.agents.chat.multi_agent_chat.shared.retrieval.models import SearchScope
+
+    await check_permission(
+        session,
+        auth,
+        request.workspace_id,
+        Permission.DOCUMENTS_READ.value,
+        "You don't have permission to read documents in this workspace",
+    )
+
+    scope = SearchScope(
+        document_types=tuple(request.document_types)
+        if request.document_types
+        else None,
+    )
+    try:
+        hits = await search_chunks(
+            session,
+            workspace_id=request.workspace_id,
+            query=request.query,
+            scope=scope,
+            top_k=request.top_k,
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Semantic search failed: {e!s}"
+        ) from e
+
+    return SemanticSearchResponse(
+        items=[
+            SemanticSearchHit(
+                document_id=hit.document_id,
+                title=hit.title,
+                document_type=hit.document_type,
+                score=hit.score,
+                chunks=[
+                    SemanticSearchChunk(
+                        content=chunk.content,
+                        position=chunk.position,
+                        score=chunk.score,
+                    )
+                    for chunk in hit.chunks
+                ],
+            )
+            for hit in hits
+        ]
+    )
+
+
@router.get("/documents/search/titles", response_model=DocumentTitleSearchResponse)
 async def search_document_titles(
    workspace_id: int,
--- a/surfsense_backend/app/tasks/document_processors/extension_processor.py
+++ b/surfsense_backend/app/tasks/document_processors/extension_processor.py
@ -72,7 +72,7 @@ async def add_extension_received_document(
            ),
            (
                "CONTENT",
-                ["FORMAT: markdown", "TEXT_START", content.pageContent, "TEXT_END"],
+                ["FORMAT: markdown", "TEXT_START", content.page_content, "TEXT_END"],
            ),
        ]

@ -126,7 +126,7 @@ async def add_extension_received_document(
        summary_embedding = embed_text(summary_content)

        # Process chunks
-        chunks = await create_document_chunks(content.pageContent)
+        chunks = await create_document_chunks(content.page_content)

        # Update or create document
        if existing_document:
--- a/surfsense_mcp/.env.example
+++ b/surfsense_mcp/.env.example
@ -0,0 +1,16 @@
+# Copy to .env (or set these in your MCP client config) and fill in your token.
+
+# API key from SurfSense (Settings -> API). Required.
+SURFSENSE_API_KEY=ss_pat_your_token_here
+
+# Base URL of the SurfSense backend. Defaults to http://localhost:8000
+SURFSENSE_BASE_URL=http://localhost:8000
+
+# Optional: default workspace (search space) by name or id, so you don't have
+# to select one each session.
+# SURFSENSE_WORKSPACE=My Research Space
+
+# Optional overrides.
+# SURFSENSE_API_PREFIX=/api/v1
+# SURFSENSE_TIMEOUT=180
+# SURFSENSE_MCP_TRANSPORT=stdio
--- a/surfsense_mcp/.gitignore
+++ b/surfsense_mcp/.gitignore
@ -0,0 +1,7 @@
+.venv/
+.env
+__pycache__/
+*.pyc
+dist/
+build/
+*.egg-info/
--- a/surfsense_mcp/README.md
+++ b/surfsense_mcp/README.md
@ -0,0 +1,92 @@
+# SurfSense MCP Server
+
+A [Model Context Protocol](https://modelcontextprotocol.io/) server that exposes
+SurfSense to MCP clients like **Claude Code**, **Cursor**, and **Claude Desktop**.
+It talks to a running SurfSense backend purely over its REST API using a SurfSense
+API key — it imports no backend code and can point at any instance (local or
+hosted) by changing two environment variables.
+
+## Tools
+
+**Search-space selector**
+- `surfsense_list_workspaces` — list the workspaces (search spaces) you can access
+- `surfsense_select_workspace` — pick the active workspace by name or id
+
+**Scrapers (all platforms)**
+- `surfsense_web_crawl`, `surfsense_google_search`, `surfsense_reddit_scrape`,
+  `surfsense_youtube_scrape`, `surfsense_youtube_comments`,
+  `surfsense_google_maps_scrape`, `surfsense_google_maps_reviews`
+- `surfsense_list_scraper_runs`, `surfsense_get_scraper_run` — retrieve past
+  results in full (useful when a large result was truncated inline)
+
+**Knowledge base**
+- `surfsense_search_knowledge_base` — semantic + keyword search over stored content
+- `surfsense_list_documents`, `surfsense_get_document`
+- `surfsense_add_document`, `surfsense_upload_file`
+- `surfsense_update_document`, `surfsense_delete_document`
+
+Workspace-scoped tools default to the active workspace; pass `workspace` (a name
+or id) to override for a single call. Ids never need to be typed by hand — the
+model carries them between calls.
+
+## Prerequisites
+
+1. A running SurfSense backend (default `http://localhost:8000`).
+2. A **SurfSense API key**: SurfSense → Settings → API → create key (`ss_pat_…`).
+3. **API access enabled** on the workspace(s) you want to use (workspace settings).
+
+## Setup
+
+Uses [uv](https://github.com/astral-sh/uv):
+
+```bash
+cd surfsense_mcp
+uv sync
+uv run python -m surfsense_mcp.selfcheck   # verify tools register correctly
+```
+
+## Connect it to a client
+
+### Cursor
+
+Add to `~/.cursor/mcp.json` (or a project `.cursor/mcp.json`):
+
+```json
+{
+  "mcpServers": {
+    "surfsense": {
+      "command": "uv",
+      "args": ["run", "--directory", "/absolute/path/to/SurfSense/surfsense_mcp", "python", "-m", "surfsense_mcp"],
+      "env": {
+        "SURFSENSE_BASE_URL": "http://localhost:8000",
+        "SURFSENSE_API_KEY": "ss_pat_your_token_here"
+      }
+    }
+  }
+}
+```
+
+### Claude Code
+
+```bash
+claude mcp add surfsense \
+  -e SURFSENSE_BASE_URL=http://localhost:8000 \
+  -e SURFSENSE_API_KEY=ss_pat_your_token_here \
+  -- uv run --directory /absolute/path/to/SurfSense/surfsense_mcp python -m surfsense_mcp
+```
+
+### Claude Desktop
+
+Add the same `mcpServers` block as Cursor to
+`claude_desktop_config.json` (Settings → Developer → Edit Config).
+
+## Configuration
+
+See `.env.example`. Secrets are passed as environment variables by the client;
+never commit tokens.
+
+## Backend dependency
+
+`surfsense_search_knowledge_base` calls `POST /api/v1/documents/search-semantic`,
+a thin endpoint that exposes the backend's existing hybrid retriever over REST.
+All other tools use pre-existing SurfSense endpoints.
--- a/surfsense_mcp/pyproject.toml
+++ b/surfsense_mcp/pyproject.toml
@ -0,0 +1,27 @@
+[project]
+name = "surfsense-mcp"
+version = "0.1.0"
+description = "MCP server exposing SurfSense scrapers, knowledge base, and workspace tools over the REST API."
+readme = "README.md"
+requires-python = ">=3.11"
+license = { text = "Apache-2.0" }
+dependencies = [
+    "mcp>=1.26.0",
+    "httpx>=0.27.0",
+]
+
+[project.scripts]
+surfsense-mcp = "surfsense_mcp.__main__:main"
+
+[dependency-groups]
+dev = ["pytest>=8.0"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/surfsense_mcp"]
+
+[tool.ruff]
+target-version = "py311"
--- a/surfsense_mcp/src/surfsense_mcp/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/init.py
@ -0,0 +1,8 @@
+"""SurfSense MCP server.
+
+Exposes SurfSense's scrapers, knowledge base, and workspaces to MCP clients
+(Claude Code, Cursor, Claude Desktop). Connects to a SurfSense backend over its
+REST API, authenticating with a SurfSense API key.
+"""
+
+__version__ = "0.1.0"
--- a/surfsense_mcp/src/surfsense_mcp/main.py
+++ b/surfsense_mcp/src/surfsense_mcp/main.py
@ -0,0 +1,31 @@
+"""Entry point: load settings from the environment and run the MCP server.
+
+Defaults to stdio (what Cursor, Claude Code, and Claude Desktop launch). stdout
+is the protocol channel, so every log line goes to stderr.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+import sys
+
+from .config import Settings
+from .server import build_server
+
+
+def main() -> None:
+    logging.basicConfig(
+        level=logging.INFO,
+        stream=sys.stderr,
+        format="%(levelname)s %(name)s: %(message)s",
+    )
+    settings = Settings.from_env()
+    mcp, _client = build_server(settings)
+
+    transport = os.environ.get("SURFSENSE_MCP_TRANSPORT", "stdio").strip() or "stdio"
+    mcp.run(transport=transport)
+
+
+if __name__ == "__main__":
+    main()
--- a/surfsense_mcp/src/surfsense_mcp/config.py
+++ b/surfsense_mcp/src/surfsense_mcp/config.py
@ -0,0 +1,62 @@
+"""Runtime configuration, read once from the environment.
+
+Secrets never live in code or client config files — the client (Cursor/Claude)
+passes them as environment variables when it launches this server (see README).
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+
+DEFAULT_BASE_URL = "http://localhost:8000"
+DEFAULT_API_PREFIX = "/api/v1"
+DEFAULT_TIMEOUT_SECONDS = 180.0
+
+
+@dataclass(frozen=True)
+class Settings:
+    """Resolved configuration for a server process."""
+
+    base_url: str
+    api_key: str
+    api_prefix: str
+    timeout: float
+    default_workspace: str | None
+
+    @property
+    def api_base(self) -> str:
+        return f"{self.base_url}{self.api_prefix}"
+
+    @classmethod
+    def from_env(cls) -> Settings:
+        api_key = os.environ.get("SURFSENSE_API_KEY", "").strip()
+        if not api_key:
+            raise SystemExit(
+                "SURFSENSE_API_KEY is required. Create an API key in SurfSense "
+                "(Settings -> API) and pass it via the SURFSENSE_API_KEY "
+                "environment variable."
+            )
+
+        base_url = (
+            os.environ.get("SURFSENSE_BASE_URL", DEFAULT_BASE_URL).strip().rstrip("/")
+        )
+        api_prefix = "/" + os.environ.get(
+            "SURFSENSE_API_PREFIX", DEFAULT_API_PREFIX
+        ).strip().strip("/")
+
+        raw_timeout = os.environ.get("SURFSENSE_TIMEOUT", "").strip()
+        try:
+            timeout = float(raw_timeout) if raw_timeout else DEFAULT_TIMEOUT_SECONDS
+        except ValueError:
+            timeout = DEFAULT_TIMEOUT_SECONDS
+
+        default_workspace = os.environ.get("SURFSENSE_WORKSPACE", "").strip() or None
+
+        return cls(
+            base_url=base_url,
+            api_key=api_key,
+            api_prefix=api_prefix,
+            timeout=timeout,
+            default_workspace=default_workspace,
+        )
--- a/surfsense_mcp/src/surfsense_mcp/core/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/core/init.py
@ -0,0 +1 @@
+"""Cross-feature infrastructure: transport, workspace resolution, output shaping."""
--- a/surfsense_mcp/src/surfsense_mcp/core/client.py
+++ b/surfsense_mcp/src/surfsense_mcp/core/client.py
@ -0,0 +1,104 @@
+"""Authenticated transport to a SurfSense backend's REST API.
+
+Sends requests to fully-formed paths, returns parsed JSON, and turns any
+transport or HTTP failure into a readable ``ToolError``.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+import httpx
+
+from .errors import ToolError
+
+_FAILURE_HINTS: dict[int, str] = {
+    401: "Authentication failed — check that SURFSENSE_API_KEY is a valid, unexpired key.",
+    402: "The workspace is out of credits for this operation.",
+    403: (
+        "Access denied — the token lacks permission, or API access is disabled "
+        "for this workspace (enable it in SurfSense workspace settings)."
+    ),
+    404: "The requested resource was not found.",
+    429: "Rate limited by the backend — retry after a short pause.",
+}
+
+
+class SurfSenseClient:
+    """Issues authenticated requests against ``{base_url}{api_prefix}``."""
+
+    def __init__(self, *, api_base: str, api_key: str, timeout: float) -> None:
+        self._api_base = api_base
+        self._http = httpx.AsyncClient(
+            base_url=api_base,
+            headers={
+                "Authorization": f"Bearer {api_key}",
+                "Accept": "application/json",
+            },
+            timeout=timeout,
+        )
+
+    async def request(
+        self,
+        method: str,
+        path: str,
+        *,
+        params: dict[str, Any] | None = None,
+        json: Any | None = None,
+        data: dict[str, Any] | None = None,
+        files: Any | None = None,
+    ) -> Any:
+        """Send a request and return the parsed body, or raise ``ToolError``."""
+        # Omit unset query params: sending them empty makes the API parse ""
+        # as a value (e.g. int("") on folder_id) and fail.
+        if params is not None:
+            params = {key: value for key, value in params.items() if value is not None}
+        try:
+            response = await self._http.request(
+                method, path, params=params, json=json, data=data, files=files
+            )
+        except httpx.RequestError as exc:
+            raise ToolError(
+                f"Could not reach SurfSense at {self._api_base}: {exc}. "
+                "Confirm the backend is running and SURFSENSE_BASE_URL is correct."
+            ) from exc
+
+        if response.is_success:
+            return self._parse_body(response)
+        raise ToolError(self._explain_failure(response))
+
+    async def aclose(self) -> None:
+        await self._http.aclose()
+
+    @staticmethod
+    def _parse_body(response: httpx.Response) -> Any:
+        if not response.content:
+            return None
+        try:
+            return response.json()
+        except ValueError:
+            return response.text
+
+    @classmethod
+    def _explain_failure(cls, response: httpx.Response) -> str:
+        """Turn an error response into one actionable sentence for the model."""
+        detail = cls._extract_detail(response)
+        hint = _FAILURE_HINTS.get(response.status_code)
+        if detail and hint:
+            return f"{hint} (server said: {detail})"
+        if detail:
+            return f"SurfSense returned {response.status_code}: {detail}"
+        return hint or f"SurfSense returned HTTP {response.status_code}."
+
+    @staticmethod
+    def _extract_detail(response: httpx.Response) -> str | None:
+        try:
+            body = response.json()
+        except ValueError:
+            return response.text.strip() or None
+        if isinstance(body, dict):
+            detail = body.get("detail", body)
+            if isinstance(detail, dict):
+                return detail.get("message") or str(detail)
+            return str(detail)
+        return str(body)
--- a/surfsense_mcp/src/surfsense_mcp/core/errors.py
+++ b/surfsense_mcp/src/surfsense_mcp/core/errors.py
@ -0,0 +1,12 @@
+"""The single failure type tools raise to speak plainly to the model.
+
+A failed tool call should tell the model what to do next, not leak a stack
+trace. Anything the caller could act on — no workspace selected, an unknown id,
+a rejected request — is raised as ``ToolError`` with a sentence safe to surface.
+"""
+
+from __future__ import annotations
+
+
+class ToolError(Exception):
+    """A user-actionable failure whose message is meant for the model to read."""
--- a/surfsense_mcp/src/surfsense_mcp/core/rendering.py
+++ b/surfsense_mcp/src/surfsense_mcp/core/rendering.py
@ -0,0 +1,28 @@
+"""Shape tool results into the format the caller asked for.
+
+Tools default to Markdown (readable for the model and the human watching), and
+can return raw JSON when a caller wants to post-process the data. Large payloads
+are clipped so a single call can't blow the context window.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any, Literal
+
+ResponseFormat = Literal["markdown", "json"]
+
+DEFAULT_CLIP_CHARS = 20_000
+
+
+def to_json(payload: Any) -> str:
+    """Pretty-print a payload as JSON, tolerating non-serializable values."""
+    return json.dumps(payload, indent=2, ensure_ascii=False, default=str)
+
+
+def clip(text: str, limit: int = DEFAULT_CLIP_CHARS) -> str:
+    """Trim overlong text, leaving a visible marker of how much was dropped."""
+    if len(text) <= limit:
+        return text
+    dropped = len(text) - limit
+    return f"{text[:limit]}\n\n… [{dropped} more characters truncated]"
--- a/surfsense_mcp/src/surfsense_mcp/core/workspace_context.py
+++ b/surfsense_mcp/src/surfsense_mcp/core/workspace_context.py
@ -0,0 +1,132 @@
+"""Active-workspace state and natural-language resolution of a workspace.
+
+Every workspace-scoped tool takes a workspace by name or id, or omits it to use
+the active one. This keeps ids out of the conversation: the model (or user)
+speaks a name, we resolve it, and remember the choice for later calls.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from .client import SurfSenseClient
+from .errors import ToolError
+
+
+@dataclass(frozen=True)
+class Workspace:
+    """A SurfSense workspace (the product's "search space")."""
+
+    id: int
+    name: str
+    description: str | None = None
+    is_owner: bool = False
+    member_count: int = 1
+
+
+class WorkspaceContext:
+    """Resolves workspace references and tracks the active selection."""
+
+    def __init__(
+        self, client: SurfSenseClient, *, preferred_reference: str | None = None
+    ) -> None:
+        self._client = client
+        self._preferred_reference = preferred_reference
+        self._active: Workspace | None = None
+
+    @property
+    def active(self) -> Workspace | None:
+        return self._active
+
+    def remember(self, workspace: Workspace) -> Workspace:
+        """Make ``workspace`` the default for later scoped calls."""
+        self._active = workspace
+        return workspace
+
+    async def fetch_all(self) -> list[Workspace]:
+        """List every workspace the token can access."""
+        rows = await self._client.request("GET", "/workspaces")
+        return [_to_workspace(row) for row in rows or []]
+
+    async def resolve(self, reference: str | int | None) -> Workspace:
+        """Resolve a name/id (or the active/preferred default) to a workspace."""
+        if reference is None or (isinstance(reference, str) and not reference.strip()):
+            return await self._resolve_default()
+        return self.remember(await self._match(reference))
+
+    async def _resolve_default(self) -> Workspace:
+        if self._active is not None:
+            return self._active
+        if self._preferred_reference:
+            return self.remember(await self._match(self._preferred_reference))
+        return self.remember(await self._only_workspace_or_prompt())
+
+    async def _only_workspace_or_prompt(self) -> Workspace:
+        workspaces = await self.fetch_all()
+        if len(workspaces) == 1:
+            return workspaces[0]
+        if not workspaces:
+            raise ToolError(
+                "No accessible workspaces. Confirm the token's account has a "
+                "workspace with API access enabled."
+            )
+        raise ToolError(
+            "No workspace selected. Choose one first with surfsense_select_workspace, "
+            f"or pass 'workspace'. Available: {_name_list(workspaces)}."
+        )
+
+    async def _match(self, reference: str | int) -> Workspace:
+        workspaces = await self.fetch_all()
+        as_id = _as_int(reference)
+        if as_id is not None:
+            found = next((w for w in workspaces if w.id == as_id), None)
+            if found is None:
+                raise ToolError(
+                    f"No workspace with id {as_id}. Available: {_name_list(workspaces)}."
+                )
+            return found
+        return _match_by_name(str(reference), workspaces)
+
+
+def _match_by_name(reference: str, workspaces: list[Workspace]) -> Workspace:
+    """Match on name: exact, then case-insensitive, then unique substring."""
+    needle = reference.strip()
+    exact = [w for w in workspaces if w.name == needle]
+    if exact:
+        return exact[0]
+    lowered = needle.casefold()
+    insensitive = [w for w in workspaces if w.name.casefold() == lowered]
+    if insensitive:
+        return insensitive[0]
+    partial = [w for w in workspaces if lowered in w.name.casefold()]
+    if len(partial) == 1:
+        return partial[0]
+    if len(partial) > 1:
+        raise ToolError(
+            f"'{reference}' matches several workspaces: {_name_list(partial)}. "
+            "Use a more specific name or the id."
+        )
+    raise ToolError(
+        f"No workspace named '{reference}'. Available: {_name_list(workspaces)}."
+    )
+
+
+def _to_workspace(row: dict) -> Workspace:
+    return Workspace(
+        id=row["id"],
+        name=row["name"],
+        description=row.get("description"),
+        is_owner=row.get("is_owner", False),
+        member_count=row.get("member_count", 1),
+    )
+
+
+def _as_int(reference: str | int) -> int | None:
+    if isinstance(reference, int):
+        return reference
+    text = reference.strip()
+    return int(text) if text.isdigit() else None
+
+
+def _name_list(workspaces: list[Workspace]) -> str:
+    return ", ".join(f"{w.name} (id {w.id})" for w in workspaces)
--- a/surfsense_mcp/src/surfsense_mcp/features/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/init.py
@ -0,0 +1 @@
+"""Vertical slices: one folder per capability group exposed to MCP clients."""
--- a/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/init.py
@ -0,0 +1,280 @@
+"""Knowledge-base tools: search the KB and manage its documents.
+
+Semantic search plus the document lifecycle — list, read, add text, upload a
+file, update, and delete — over a workspace's knowledge base. Search and reads
+default to the active workspace; document ids identify a single document across
+the whole account, so id-addressed tools need no workspace.
+"""
+
+from __future__ import annotations
+
+import mimetypes
+from pathlib import Path
+
+from mcp.server.fastmcp import FastMCP
+from mcp.types import ToolAnnotations
+
+from ...core.client import SurfSenseClient
+from ...core.errors import ToolError
+from ...core.rendering import ResponseFormat, clip, to_json
+from ...core.workspace_context import WorkspaceContext
+from .note_ingestion import build_note_document
+
+_READ = ToolAnnotations(
+    readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False
+)
+_WRITE = ToolAnnotations(
+    readOnlyHint=False, destructiveHint=False, idempotentHint=False, openWorldHint=False
+)
+_DELETE = ToolAnnotations(
+    readOnlyHint=False, destructiveHint=True, idempotentHint=False, openWorldHint=False
+)
+
+
+def register(
+    mcp: FastMCP, client: SurfSenseClient, context: WorkspaceContext
+) -> None:
+    """Register the knowledge-base tools on the server."""
+
+    @mcp.tool(
+        name="surfsense_search_knowledge_base",
+        annotations=_READ,
+        structured_output=False,
+    )
+    async def search_knowledge_base(
+        query: str,
+        top_k: int = 5,
+        document_types: list[str] | None = None,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Search the workspace's knowledge base by meaning and keyword.
+
+        Use this to answer questions from stored content: it returns the most
+        relevant documents with the passages that matched, ranked by relevance.
+        top_k caps documents (1–20). Optionally restrict to document_types.
+        """
+        resolved = await context.resolve(workspace)
+        hits = await client.request(
+            "POST",
+            "/documents/search-semantic",
+            json={
+                "workspace_id": resolved.id,
+                "query": query,
+                "top_k": max(1, min(top_k, 20)),
+                "document_types": document_types,
+            },
+        )
+        items = (hits or {}).get("items", [])
+        if response_format == "json":
+            return to_json(items)
+        return _render_search(query, items)
+
+    @mcp.tool(
+        name="surfsense_list_documents", annotations=_READ, structured_output=False
+    )
+    async def list_documents(
+        document_types: list[str] | None = None,
+        folder_id: int | None = None,
+        page: int = 0,
+        page_size: int = 20,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """List documents in the workspace's knowledge base, newest first.
+
+        Use this to browse or inventory what is stored. Optionally filter by
+        document_types or a folder_id. Paginated: returns page_size items and a
+        has_more flag; request the next page by increasing page.
+        """
+        resolved = await context.resolve(workspace)
+        result = await client.request(
+            "GET",
+            "/documents",
+            params={
+                "workspace_id": resolved.id,
+                "page": page,
+                "page_size": page_size,
+                "document_types": _join(document_types),
+                "folder_id": folder_id,
+            },
+        )
+        if response_format == "json":
+            return to_json(result)
+        return _render_document_list(result)
+
+    @mcp.tool(
+        name="surfsense_get_document", annotations=_READ, structured_output=False
+    )
+    async def get_document(
+        document_id: int, response_format: ResponseFormat = "markdown"
+    ) -> str:
+        """Read one document's full content and metadata by id.
+
+        Use this after search or list to open a specific document. The id comes
+        from those tools' results.
+        """
+        document = await client.request("GET", f"/documents/{document_id}")
+        if response_format == "json":
+            return clip(to_json(document))
+        return _render_document(document)
+
+    @mcp.tool(
+        name="surfsense_add_document", annotations=_WRITE, structured_output=False
+    )
+    async def add_document(
+        title: str,
+        content: str,
+        source_url: str | None = None,
+        workspace: str | None = None,
+    ) -> str:
+        """Add a text or markdown note to the workspace's knowledge base.
+
+        Use this to save notes, summaries, or snippets so they become
+        searchable. The content is indexed asynchronously, so it may take a
+        moment to appear in search. source_url optionally records where the text
+        came from.
+        """
+        resolved = await context.resolve(workspace)
+        await client.request(
+            "POST",
+            "/documents",
+            json=build_note_document(
+                workspace_id=resolved.id,
+                title=title,
+                content=content,
+                source_url=source_url,
+            ),
+        )
+        return (
+            f"Queued '{title}' for indexing in '{resolved.name}'. "
+            "It will be searchable once processing completes."
+        )
+
+    @mcp.tool(
+        name="surfsense_upload_file", annotations=_WRITE, structured_output=False
+    )
+    async def upload_file(
+        file_path: str,
+        use_vision_llm: bool = False,
+        workspace: str | None = None,
+    ) -> str:
+        """Upload a local file (PDF, doc, etc.) into the knowledge base.
+
+        Use this to ingest a file from disk; it is parsed, chunked, and indexed
+        asynchronously. Set use_vision_llm to read scanned or image-heavy files
+        with a vision model (slower).
+        """
+        resolved = await context.resolve(workspace)
+        payload = _read_upload(file_path)
+        result = await client.request(
+            "POST",
+            "/documents/fileupload",
+            data={
+                "workspace_id": str(resolved.id),
+                "use_vision_llm": str(use_vision_llm).lower(),
+                "processing_mode": "basic",
+            },
+            files=[("files", payload)],
+        )
+        pending = (result or {}).get("pending_files", 0)
+        skipped = (result or {}).get("skipped_duplicates", 0)
+        note = " (already present, skipped)" if skipped and not pending else ""
+        return (
+            f"Uploaded '{Path(file_path).name}' to '{resolved.name}'{note}. "
+            "It will be searchable once processing completes."
+        )
+
+    @mcp.tool(
+        name="surfsense_update_document", annotations=_WRITE, structured_output=False
+    )
+    async def update_document(document_id: int, content: str) -> str:
+        """Replace a document's stored content by id.
+
+        Use this to correct or rewrite a document's text. Note: this updates the
+        stored content; re-indexing of search chunks is not triggered by this
+        call.
+        """
+        existing = await client.request("GET", f"/documents/{document_id}")
+        await client.request(
+            "PUT",
+            f"/documents/{document_id}",
+            json={
+                "document_type": existing["document_type"],
+                "workspace_id": existing["workspace_id"],
+                "content": content,
+            },
+        )
+        return f"Updated document {document_id} ('{existing.get('title', '')}')."
+
+    @mcp.tool(
+        name="surfsense_delete_document", annotations=_DELETE, structured_output=False
+    )
+    async def delete_document(document_id: int) -> str:
+        """Delete a document from the knowledge base by id.
+
+        Use this to permanently remove a document. Deletion runs in the
+        background; the document stops appearing in searches immediately.
+        """
+        await client.request("DELETE", f"/documents/{document_id}")
+        return f"Deleted document {document_id}."
+
+
+def _read_upload(file_path: str) -> tuple[str, bytes, str]:
+    path = Path(file_path).expanduser()
+    if not path.is_file():
+        raise ToolError(f"No file at '{file_path}'.")
+    mime, _ = mimetypes.guess_type(path.name)
+    return (path.name, path.read_bytes(), mime or "application/octet-stream")
+
+
+def _join(values: list[str] | None) -> str | None:
+    return ",".join(values) if values else None
+
+
+def _render_search(query: str, items: list[dict]) -> str:
+    if not items:
+        return f'No matches for "{query}".'
+    lines = [f'# {len(items)} result(s) for "{query}"', ""]
+    for hit in items:
+        lines.append(
+            f"## {hit.get('title', 'Untitled')} "
+            f"(id {hit.get('document_id')}) — score {hit.get('score', 0):.3f}"
+        )
+        for chunk in hit.get("chunks", []):
+            excerpt = clip(chunk.get("content", "").strip(), 500)
+            lines.append(f"> {excerpt}")
+        lines.append("")
+    return "\n".join(lines).strip()
+
+
+def _render_document_list(result: dict | None) -> str:
+    items = (result or {}).get("items", [])
+    if not items:
+        return "No documents found."
+    lines = ["# Documents", ""]
+    for doc in items:
+        lines.append(
+            f"- **{doc.get('title', 'Untitled')}** (id {doc.get('id')}) · "
+            f"{doc.get('document_type')} · updated {doc.get('updated_at')}"
+        )
+    total = (result or {}).get("total", len(items))
+    page = (result or {}).get("page", 0)
+    has_more = (result or {}).get("has_more", False)
+    lines.append("")
+    lines.append(
+        f"_Page {page} · showing {len(items)} of {total}"
+        + (" · more available_" if has_more else "_")
+    )
+    return "\n".join(lines)
+
+
+def _render_document(document: dict) -> str:
+    content = clip(document.get("content", "") or "(empty)")
+    return (
+        f"# {document.get('title', 'Untitled')} (id {document.get('id')})\n"
+        f"- type: {document.get('document_type')}\n"
+        f"- workspace: {document.get('workspace_id')}\n"
+        f"- updated: {document.get('updated_at')}\n\n"
+        f"{content}"
+    )
--- a/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/note_ingestion.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/note_ingestion.py
@ -0,0 +1,45 @@
+"""Translate a plain note into SurfSense's document-ingestion envelope.
+
+The REST API ingests free text through the browser-extension document shape
+(title + page content + visit metadata); the backend then chunks and embeds it
+like any saved page. Isolating that mapping lets the KB tool offer a simple
+title+content surface without leaking the envelope's shape.
+"""
+
+from __future__ import annotations
+
+import re
+from datetime import datetime, timezone
+
+
+def build_note_document(
+    *, workspace_id: int, title: str, content: str, source_url: str | None
+) -> dict:
+    """Wrap a note in the EXTENSION document payload the create endpoint expects."""
+    # ponytail: reuses the extension-ingestion path to add free text. Ceiling —
+    # visit metadata is synthesized; the "real page URL" is a stable synthetic
+    # link derived from the title. Upgrade path: a first-class note endpoint.
+    captured_at = datetime.now(timezone.utc).isoformat()
+    return {
+        "document_type": "EXTENSION",
+        "workspace_id": workspace_id,
+        "content": [
+            {
+                "metadata": {
+                    "BrowsingSessionId": "surfsense-mcp",
+                    "VisitedWebPageURL": source_url or _synthetic_url(title),
+                    "VisitedWebPageTitle": title,
+                    "VisitedWebPageDateWithTimeInISOString": captured_at,
+                    "VisitedWebPageReffererURL": "",
+                    "VisitedWebPageVisitDurationInMilliseconds": "0",
+                },
+                "pageContent": content,
+            }
+        ],
+    }
+
+
+def _synthetic_url(title: str) -> str:
+    slug = re.sub(r"[^a-z0-9]+", "-", title.casefold()).strip("-") or "note"
+    stamp = datetime.now(timezone.utc).strftime("%Y%m%d%H%M%S")
+    return f"https://surfsense.local/mcp-note/{slug}-{stamp}"
--- a/surfsense_mcp/src/surfsense_mcp/features/scrapers/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/scrapers/init.py
@ -0,0 +1,351 @@
+"""Scraper tools: one MCP surface per SurfSense platform capability.
+
+Web crawl, Google Search, Reddit, YouTube, and Google Maps each get a tool that
+maps a natural-language request to the workspace's scraper door. Two more tools
+list and fetch past runs, so a large result truncated inline can be retrieved in
+full later.
+"""
+
+from __future__ import annotations
+
+from typing import Literal
+
+from mcp.server.fastmcp import FastMCP
+from mcp.types import ToolAnnotations
+
+from ...core.client import SurfSenseClient
+from ...core.rendering import ResponseFormat, clip, to_json
+from ...core.workspace_context import WorkspaceContext
+from .capability import run_scraper
+
+# Scrapers reach the open web and record a billable run; they are neither
+# read-only nor idempotent, but they do not mutate the knowledge base.
+_SCRAPE = ToolAnnotations(
+    readOnlyHint=False, destructiveHint=False, idempotentHint=False, openWorldHint=True
+)
+_READ_RUNS = ToolAnnotations(
+    readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False
+)
+
+RedditSort = Literal["relevance", "hot", "top", "new", "rising", "comments"]
+RedditTime = Literal["hour", "day", "week", "month", "year", "all"]
+CommentSort = Literal["TOP_COMMENTS", "NEWEST_FIRST"]
+ReviewSort = Literal["newest", "mostRelevant", "highestRanking", "lowestRanking"]
+
+
+def register(
+    mcp: FastMCP, client: SurfSenseClient, context: WorkspaceContext
+) -> None:
+    """Register the scraper and run-history tools on the server."""
+
+    @mcp.tool(name="surfsense_web_crawl", annotations=_SCRAPE, structured_output=False)
+    async def web_crawl(
+        start_urls: list[str],
+        max_crawl_depth: int = 0,
+        max_crawl_pages: int = 10,
+        max_length: int = 50_000,
+        include_url_patterns: list[str] | None = None,
+        exclude_url_patterns: list[str] | None = None,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Crawl web pages and return their cleaned content as markdown.
+
+        Use this to read one page or spider a site. With max_crawl_depth=0 only
+        start_urls are fetched; a higher depth follows same-site links up to
+        max_crawl_pages. include/exclude_url_patterns are regexes that narrow
+        which discovered links are followed.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="web",
+            verb="crawl",
+            payload={
+                "startUrls": start_urls,
+                "maxCrawlDepth": max_crawl_depth,
+                "maxCrawlPages": max_crawl_pages,
+                "maxLength": max_length,
+                "includeUrlPatterns": include_url_patterns,
+                "excludeUrlPatterns": exclude_url_patterns,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_google_search", annotations=_SCRAPE, structured_output=False
+    )
+    async def google_search(
+        queries: list[str],
+        max_pages_per_query: int = 1,
+        country_code: str | None = None,
+        language_code: str = "",
+        site: str | None = None,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Scrape Google Search results for one or more queries.
+
+        Use this to find pages on the web. Each item is a query's fetched result
+        page. Pass full Google Search URLs to scrape them as-is, or plain terms
+        to search. Optionally scope to a country, language, or single domain.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="google_search",
+            verb="scrape",
+            payload={
+                "queries": queries,
+                "max_pages_per_query": max_pages_per_query,
+                "country_code": country_code,
+                "language_code": language_code,
+                "site": site,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_reddit_scrape", annotations=_SCRAPE, structured_output=False
+    )
+    async def reddit_scrape(
+        urls: list[str] | None = None,
+        search_queries: list[str] | None = None,
+        community: str | None = None,
+        sort: RedditSort = "new",
+        time_filter: RedditTime | None = None,
+        max_items: int = 10,
+        skip_comments: bool = False,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Scrape Reddit posts and comments from URLs or a search.
+
+        Provide urls (a post, /r/subreddit, /user/name, or search URL) OR
+        search_queries; scope a search to one subreddit with community. Use
+        time_filter only with sort='top'. Set skip_comments to fetch posts only.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="reddit",
+            verb="scrape",
+            payload={
+                "urls": urls,
+                "search_queries": search_queries,
+                "community": community,
+                "sort": sort,
+                "time_filter": time_filter,
+                "max_items": max_items,
+                "skip_comments": skip_comments,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_youtube_scrape", annotations=_SCRAPE, structured_output=False
+    )
+    async def youtube_scrape(
+        urls: list[str] | None = None,
+        search_queries: list[str] | None = None,
+        max_results: int = 10,
+        download_subtitles: bool = False,
+        subtitles_language: str = "en",
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Scrape YouTube videos from URLs or a search.
+
+        Provide urls (video, channel, playlist, shorts, or hashtag pages) OR
+        search_queries. Set download_subtitles to also fetch each video's
+        transcript in subtitles_language.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="youtube",
+            verb="scrape",
+            payload={
+                "urls": urls,
+                "search_queries": search_queries,
+                "max_results": max_results,
+                "download_subtitles": download_subtitles,
+                "subtitles_language": subtitles_language,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_youtube_comments", annotations=_SCRAPE, structured_output=False
+    )
+    async def youtube_comments(
+        urls: list[str],
+        max_comments: int = 20,
+        sort_by: CommentSort = "NEWEST_FIRST",
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Fetch comments (and replies) for one or more YouTube videos.
+
+        Use this when the user wants a video's discussion rather than the video
+        itself. max_comments counts top-level comments and replies together.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="youtube",
+            verb="comments",
+            payload={
+                "urls": urls,
+                "max_comments": max_comments,
+                "sort_by": sort_by,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_google_maps_scrape",
+        annotations=_SCRAPE,
+        structured_output=False,
+    )
+    async def google_maps_scrape(
+        search_queries: list[str] | None = None,
+        urls: list[str] | None = None,
+        place_ids: list[str] | None = None,
+        location: str | None = None,
+        max_places: int = 10,
+        include_details: bool = False,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Scrape places from Google Maps by search, URL, or place id.
+
+        Provide search_queries OR urls OR place_ids. Scope a search with
+        location (e.g. 'New York, USA'). Set include_details for opening hours
+        and extra contact info (slower).
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="google_maps",
+            verb="scrape",
+            payload={
+                "search_queries": search_queries,
+                "urls": urls,
+                "place_ids": place_ids,
+                "location": location,
+                "max_places": max_places,
+                "include_details": include_details,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_google_maps_reviews",
+        annotations=_SCRAPE,
+        structured_output=False,
+    )
+    async def google_maps_reviews(
+        urls: list[str] | None = None,
+        place_ids: list[str] | None = None,
+        max_reviews: int = 20,
+        sort_by: ReviewSort = "newest",
+        language: str = "en",
+        start_date: str | None = None,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Fetch reviews for Google Maps places by URL or place id.
+
+        Provide urls OR place_ids. start_date (ISO, e.g. '2024-01-01') keeps only
+        reviews on or after that day.
+        """
+        return await run_scraper(
+            client,
+            context,
+            platform="google_maps",
+            verb="reviews",
+            payload={
+                "urls": urls,
+                "place_ids": place_ids,
+                "max_reviews": max_reviews,
+                "sort_by": sort_by,
+                "language": language,
+                "start_date": start_date,
+            },
+            workspace=workspace,
+            response_format=response_format,
+        )
+
+    @mcp.tool(
+        name="surfsense_list_scraper_runs",
+        annotations=_READ_RUNS,
+        structured_output=False,
+    )
+    async def list_scraper_runs(
+        limit: int = 20,
+        capability: str | None = None,
+        status: str | None = None,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """List recent scraper runs for the workspace, newest first.
+
+        Use this to find a run_id to fetch in full with surfsense_get_scraper_run,
+        e.g. when an inline result was truncated. Optionally filter by capability
+        (like 'web.crawl') or status ('success' / 'error').
+        """
+        resolved = await context.resolve(workspace)
+        runs = await client.request(
+            "GET",
+            f"/workspaces/{resolved.id}/scrapers/runs",
+            params={
+                "limit": limit,
+                "capability": capability,
+                "status": status,
+            },
+        )
+        if response_format == "json":
+            return to_json(runs)
+        return _render_runs(runs)
+
+    @mcp.tool(
+        name="surfsense_get_scraper_run",
+        annotations=_READ_RUNS,
+        structured_output=False,
+    )
+    async def get_scraper_run(
+        run_id: str,
+        workspace: str | None = None,
+        response_format: ResponseFormat = "markdown",
+    ) -> str:
+        """Fetch a single scraper run in full, including its stored output.
+
+        Use this to retrieve the complete result of an earlier scrape (its
+        run_id comes from surfsense_list_scraper_runs or a prior scrape).
+        """
+        resolved = await context.resolve(workspace)
+        run = await client.request(
+            "GET", f"/workspaces/{resolved.id}/scrapers/runs/{run_id}"
+        )
+        if response_format == "json":
+            return clip(to_json(run))
+        return f"# Run {run.get('id', run_id)}\n\n```json\n{clip(to_json(run))}\n```"
+
+
+def _render_runs(runs: list[dict] | None) -> str:
+    if not runs:
+        return "No scraper runs found."
+    lines = ["# Scraper runs", ""]
+    for run in runs:
+        lines.append(
+            f"- **{run.get('id')}** — {run.get('capability')} · {run.get('status')} · "
+            f"{run.get('item_count', 0)} item(s) · {run.get('created_at')}"
+        )
+    return "\n".join(lines)
--- a/surfsense_mcp/src/surfsense_mcp/features/scrapers/capability.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/scrapers/capability.py
@ -0,0 +1,49 @@
+"""Run a SurfSense scraper capability and shape its result.
+
+Shared by every platform tool: POST a typed payload to the workspace's scraper
+door and render the returned items as markdown or JSON.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from ...core.client import SurfSenseClient
+from ...core.rendering import ResponseFormat, clip, to_json
+from ...core.workspace_context import WorkspaceContext
+
+
+async def run_scraper(
+    client: SurfSenseClient,
+    context: WorkspaceContext,
+    *,
+    platform: str,
+    verb: str,
+    payload: dict[str, Any],
+    workspace: str | None,
+    response_format: ResponseFormat,
+) -> str:
+    """Execute one scraper verb for the resolved workspace and render its output."""
+    resolved = await context.resolve(workspace)
+    body = {key: value for key, value in payload.items() if value is not None}
+    result = await client.request(
+        "POST", f"/workspaces/{resolved.id}/scrapers/{platform}/{verb}", json=body
+    )
+    if response_format == "json":
+        return clip(to_json(result))
+    return _render_markdown(platform, verb, resolved.name, result)
+
+
+def _render_markdown(
+    platform: str, verb: str, workspace_name: str, result: Any
+) -> str:
+    """A readable header plus the structured payload, clipped to a safe size."""
+    header = f'# {platform}.{verb} — {_describe_size(result)} from "{workspace_name}"'
+    body = clip(to_json(result))
+    return f"{header}\n\n```json\n{body}\n```"
+
+
+def _describe_size(result: Any) -> str:
+    if isinstance(result, dict) and isinstance(result.get("items"), list):
+        return f"{len(result['items'])} item(s)"
+    return "result"
--- a/surfsense_mcp/src/surfsense_mcp/features/workspaces/init.py
+++ b/surfsense_mcp/src/surfsense_mcp/features/workspaces/init.py
@ -0,0 +1,82 @@
+"""Search-space selector: discover workspaces and choose the active one.
+
+A workspace (the product calls it a "search space") scopes every other tool.
+These two tools let a client list what's available and pick one by name, so the
+rest of the conversation needs no ids.
+"""
+
+from __future__ import annotations
+
+from mcp.server.fastmcp import FastMCP
+from mcp.types import ToolAnnotations
+
+from ...core.rendering import ResponseFormat, to_json
+from ...core.workspace_context import Workspace, WorkspaceContext
+
+_READ_ONLY = ToolAnnotations(
+    readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False
+)
+
+
+def register(mcp: FastMCP, context: WorkspaceContext) -> None:
+    """Register the workspace selector tools on the server."""
+
+    @mcp.tool(
+        name="surfsense_list_workspaces",
+        annotations=_READ_ONLY,
+        structured_output=False,
+    )
+    async def list_workspaces(response_format: ResponseFormat = "markdown") -> str:
+        """List the SurfSense workspaces (search spaces) the account can access.
+
+        Use this to discover which workspaces exist before selecting one, or when
+        the user asks what search spaces they have. Returns each workspace's name,
+        id, description, ownership, and member count.
+        """
+        workspaces = await context.fetch_all()
+        if response_format == "json":
+            return to_json([_as_dict(w) for w in workspaces])
+        return _render_list(workspaces, active=context.active)
+
+    @mcp.tool(
+        name="surfsense_select_workspace",
+        annotations=_READ_ONLY,
+        structured_output=False,
+    )
+    async def select_workspace(workspace: str) -> str:
+        """Set the active workspace (search space) for later tools, by name or id.
+
+        Use this when the user says which search space to work in ("use my
+        Research space"). Accepts a workspace name or numeric id; matching is
+        case-insensitive and accepts a unique partial name. Once set, other tools
+        default to this workspace unless they are given a different one.
+        """
+        selected = await context.resolve(workspace)
+        return (
+            f"Active workspace is now '{selected.name}' (id {selected.id}). "
+            "Other tools will use it unless you pass a different 'workspace'."
+        )
+
+
+def _render_list(workspaces: list[Workspace], *, active: Workspace | None) -> str:
+    if not workspaces:
+        return "No accessible workspaces."
+    lines = ["# Workspaces", ""]
+    for workspace in workspaces:
+        marker = " — active" if active and active.id == workspace.id else ""
+        role = "owner" if workspace.is_owner else "member"
+        lines.append(f"- **{workspace.name}** (id {workspace.id}){marker}")
+        if workspace.description:
+            lines.append(f"  - {workspace.description}")
+        lines.append(f"  - {role}, {workspace.member_count} member(s)")
+    return "\n".join(lines)
+
+
+def _as_dict(workspace: Workspace) -> dict:
+    return {
+        "id": workspace.id,
+        "name": workspace.name,
+        "description": workspace.description,
+        "is_owner": workspace.is_owner,
+        "member_count": workspace.member_count,
+    }
--- a/surfsense_mcp/src/surfsense_mcp/selfcheck.py
+++ b/surfsense_mcp/src/surfsense_mcp/selfcheck.py
@ -0,0 +1,89 @@
+"""Offline smoke check: every tool registers with a usable name, doc, and schema.
+
+Runs without a backend or network — it only assembles the server and inspects
+the tool manifest the client would see. Fails loudly if a tool is missing, its
+description is too thin to route on, or its input schema is malformed.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import sys
+
+from .config import Settings
+from .server import build_server
+
+EXPECTED_TOOLS = {
+    # search-space selector
+    "surfsense_list_workspaces",
+    "surfsense_select_workspace",
+    # scrapers (all platforms) + run history
+    "surfsense_web_crawl",
+    "surfsense_google_search",
+    "surfsense_reddit_scrape",
+    "surfsense_youtube_scrape",
+    "surfsense_youtube_comments",
+    "surfsense_google_maps_scrape",
+    "surfsense_google_maps_reviews",
+    "surfsense_list_scraper_runs",
+    "surfsense_get_scraper_run",
+    # knowledge-base management
+    "surfsense_search_knowledge_base",
+    "surfsense_list_documents",
+    "surfsense_get_document",
+    "surfsense_add_document",
+    "surfsense_upload_file",
+    "surfsense_update_document",
+    "surfsense_delete_document",
+}
+
+_MIN_DESCRIPTION_CHARS = 40
+
+
+async def _collect_tools() -> dict[str, object]:
+    settings = Settings(
+        base_url="http://localhost:8000",
+        api_key="ss_pat_selfcheck",
+        api_prefix="/api/v1",
+        timeout=5.0,
+        default_workspace=None,
+    )
+    mcp, _client = build_server(settings)
+    tools = await mcp.list_tools()
+    return {tool.name: tool for tool in tools}
+
+
+def run() -> list[str]:
+    """Return a list of problems; empty means the manifest is healthy."""
+    tools = asyncio.run(_collect_tools())
+    problems: list[str] = []
+
+    missing = EXPECTED_TOOLS - tools.keys()
+    if missing:
+        problems.append(f"missing tools: {sorted(missing)}")
+    unexpected = tools.keys() - EXPECTED_TOOLS
+    if unexpected:
+        problems.append(f"unexpected tools: {sorted(unexpected)}")
+
+    for name, tool in tools.items():
+        description = tool.description or ""
+        if len(description) < _MIN_DESCRIPTION_CHARS:
+            problems.append(f"{name}: description too short to route on")
+        schema = tool.inputSchema
+        if not isinstance(schema, dict) or "properties" not in schema:
+            problems.append(f"{name}: malformed input schema")
+    return problems
+
+
+def main() -> None:
+    problems = run()
+    if problems:
+        print("selfcheck FAILED:", file=sys.stderr)
+        for problem in problems:
+            print(f"  - {problem}", file=sys.stderr)
+        sys.exit(1)
+    print(f"selfcheck OK: {len(EXPECTED_TOOLS)} tools registered and well-formed")
+
+
+if __name__ == "__main__":
+    main()
--- a/surfsense_mcp/src/surfsense_mcp/server.py
+++ b/surfsense_mcp/src/surfsense_mcp/server.py
@ -0,0 +1,28 @@
+"""Composition root: build the MCP server and wire in every feature slice.
+
+Creates the REST transport and workspace context from settings, then lets each
+feature register its tools on the server.
+"""
+
+from __future__ import annotations
+
+from mcp.server.fastmcp import FastMCP
+
+from .config import Settings
+from .core.client import SurfSenseClient
+from .core.workspace_context import WorkspaceContext
+from .features import knowledge_base, scrapers, workspaces
+
+
+def build_server(settings: Settings) -> tuple[FastMCP, SurfSenseClient]:
+    """Assemble a configured server and the client whose lifecycle it shares."""
+    client = SurfSenseClient(
+        api_base=settings.api_base, api_key=settings.api_key, timeout=settings.timeout
+    )
+    context = WorkspaceContext(client, preferred_reference=settings.default_workspace)
+
+    mcp = FastMCP("SurfSense")
+    workspaces.register(mcp, context)
+    scrapers.register(mcp, client, context)
+    knowledge_base.register(mcp, client, context)
+    return mcp, client
--- a/surfsense_mcp/tests/test_client_errors.py
+++ b/surfsense_mcp/tests/test_client_errors.py
@ -0,0 +1,46 @@
+"""HTTP failure translation: status hints, server detail, and body parsing."""
+
+from __future__ import annotations
+
+import httpx
+
+from surfsense_mcp.core.client import SurfSenseClient
+
+_REQUEST = httpx.Request("GET", "http://localhost:8000/api/v1/documents")
+
+
+def _response(status: int, **kwargs) -> httpx.Response:
+    return httpx.Response(status, request=_REQUEST, **kwargs)
+
+
+def test_explains_401_with_token_hint():
+    message = SurfSenseClient._explain_failure(_response(401, json={"detail": "bad"}))
+    assert "SURFSENSE_API_KEY" in message
+    assert "bad" in message
+
+
+def test_explains_403_as_access_or_api_disabled():
+    message = SurfSenseClient._explain_failure(_response(403, json={"detail": "no"}))
+    assert "API access" in message
+
+
+def test_extracts_nested_detail_message():
+    response = _response(402, json={"detail": {"message": "out of credits"}})
+    assert "out of credits" in SurfSenseClient._explain_failure(response)
+
+
+def test_unmapped_status_still_reports_detail():
+    message = SurfSenseClient._explain_failure(_response(500, json={"detail": "boom"}))
+    assert "500" in message and "boom" in message
+
+
+def test_parses_json_body():
+    assert SurfSenseClient._parse_body(_response(200, json={"ok": 1})) == {"ok": 1}
+
+
+def test_empty_body_parses_to_none():
+    assert SurfSenseClient._parse_body(_response(204, content=b"")) is None
+
+
+def test_non_json_body_falls_back_to_text():
+    assert SurfSenseClient._parse_body(_response(200, text="hello")) == "hello"
--- a/surfsense_mcp/tests/test_client_params.py
+++ b/surfsense_mcp/tests/test_client_params.py
@ -0,0 +1,38 @@
+"""Unset query params must be omitted, not sent as empty strings."""
+
+from __future__ import annotations
+
+import asyncio
+
+import httpx
+
+from surfsense_mcp.core.client import SurfSenseClient
+
+
+def _capture(client: SurfSenseClient) -> dict:
+    """Swap in a mock transport that records the request it receives."""
+    seen: dict = {}
+
+    async def handler(request: httpx.Request) -> httpx.Response:
+        seen["url"] = str(request.url)
+        seen["params"] = dict(request.url.params)
+        return httpx.Response(200, json={"ok": True})
+
+    client._http = httpx.AsyncClient(
+        base_url="http://test/api/v1", transport=httpx.MockTransport(handler)
+    )
+    return seen
+
+
+def test_none_params_are_dropped():
+    client = SurfSenseClient(api_base="http://test/api/v1", api_key="ss_pat_x", timeout=5)
+    seen = _capture(client)
+    asyncio.run(
+        client.request(
+            "GET",
+            "/documents",
+            params={"workspace_id": 1, "document_types": None, "folder_id": None},
+        )
+    )
+    assert seen["params"] == {"workspace_id": "1"}
+    assert "folder_id" not in seen["url"]
--- a/surfsense_mcp/tests/test_note_ingestion.py
+++ b/surfsense_mcp/tests/test_note_ingestion.py
@ -0,0 +1,31 @@
+"""The note-to-document envelope mapping."""
+
+from __future__ import annotations
+
+from surfsense_mcp.features.knowledge_base.note_ingestion import build_note_document
+
+
+def test_builds_extension_document_with_content():
+    doc = build_note_document(
+        workspace_id=3, title="Meeting notes", content="body", source_url=None
+    )
+    assert doc["document_type"] == "EXTENSION"
+    assert doc["workspace_id"] == 3
+    entry = doc["content"][0]
+    assert entry["pageContent"] == "body"
+    assert entry["metadata"]["VisitedWebPageTitle"] == "Meeting notes"
+
+
+def test_synthesizes_url_when_none_given():
+    doc = build_note_document(
+        workspace_id=1, title="Q3 Plan!", content="x", source_url=None
+    )
+    url = doc["content"][0]["metadata"]["VisitedWebPageURL"]
+    assert url.startswith("https://surfsense.local/mcp-note/q3-plan-")
+
+
+def test_keeps_provided_source_url():
+    doc = build_note_document(
+        workspace_id=1, title="t", content="x", source_url="https://example.com/a"
+    )
+    assert doc["content"][0]["metadata"]["VisitedWebPageURL"] == "https://example.com/a"
--- a/surfsense_mcp/tests/test_rendering.py
+++ b/surfsense_mcp/tests/test_rendering.py
@ -0,0 +1,22 @@
+"""Output shaping: clipping oversized text and JSON serialization."""
+
+from __future__ import annotations
+
+from surfsense_mcp.core.rendering import clip, to_json
+
+
+def test_clip_leaves_short_text_untouched():
+    assert clip("short", limit=100) == "short"
+
+
+def test_clip_truncates_and_marks_dropped_characters():
+    clipped = clip("x" * 50, limit=10)
+    assert clipped.startswith("x" * 10)
+    assert "40 more characters truncated" in clipped
+
+
+def test_to_json_serializes_non_native_values():
+    from datetime import datetime
+
+    rendered = to_json({"at": datetime(2026, 1, 2, 3, 4, 5)})
+    assert "2026-01-02" in rendered
--- a/surfsense_mcp/tests/test_workspace_context.py
+++ b/surfsense_mcp/tests/test_workspace_context.py
@ -0,0 +1,98 @@
+"""Workspace resolution: names, ids, defaults, and the ambiguous cases."""
+
+from __future__ import annotations
+
+import asyncio
+
+import pytest
+
+from surfsense_mcp.core.errors import ToolError
+from surfsense_mcp.core.workspace_context import WorkspaceContext
+
+
+class FakeClient:
+    """Stands in for SurfSenseClient, serving a fixed workspace list."""
+
+    def __init__(self, rows: list[dict]) -> None:
+        self._rows = rows
+
+    async def request(self, method: str, path: str, **_kwargs):
+        assert (method, path) == ("GET", "/workspaces")
+        return self._rows
+
+
+def _rows(*names_ids: tuple[str, int]) -> list[dict]:
+    return [{"id": wid, "name": name} for name, wid in names_ids]
+
+
+def _context(rows: list[dict], preferred: str | None = None) -> WorkspaceContext:
+    return WorkspaceContext(FakeClient(rows), preferred_reference=preferred)
+
+
+def test_resolves_exact_name():
+    ctx = _context(_rows(("Research", 1), ("Marketing", 2)))
+    assert asyncio.run(ctx.resolve("Research")).id == 1
+
+
+def test_resolves_case_insensitively():
+    ctx = _context(_rows(("Research", 1)))
+    assert asyncio.run(ctx.resolve("research")).id == 1
+
+
+def test_resolves_unique_substring():
+    ctx = _context(_rows(("Research Space", 1), ("Marketing", 2)))
+    assert asyncio.run(ctx.resolve("resea")).id == 1
+
+
+def test_ambiguous_substring_is_rejected():
+    ctx = _context(_rows(("Research A", 1), ("Research B", 2)))
+    with pytest.raises(ToolError):
+        asyncio.run(ctx.resolve("research"))
+
+
+def test_resolves_by_numeric_id():
+    ctx = _context(_rows(("Research", 1), ("Marketing", 2)))
+    assert asyncio.run(ctx.resolve(2)).name == "Marketing"
+    assert asyncio.run(ctx.resolve("2")).name == "Marketing"
+
+
+def test_unknown_id_is_rejected():
+    ctx = _context(_rows(("Research", 1)))
+    with pytest.raises(ToolError):
+        asyncio.run(ctx.resolve(99))
+
+
+def test_unknown_name_is_rejected():
+    ctx = _context(_rows(("Research", 1)))
+    with pytest.raises(ToolError):
+        asyncio.run(ctx.resolve("Nope"))
+
+
+def test_default_auto_selects_single_workspace():
+    ctx = _context(_rows(("Only", 7)))
+    assert asyncio.run(ctx.resolve(None)).id == 7
+
+
+def test_default_with_multiple_requires_a_choice():
+    ctx = _context(_rows(("A", 1), ("B", 2)))
+    with pytest.raises(ToolError):
+        asyncio.run(ctx.resolve(None))
+
+
+def test_default_with_no_workspaces_is_rejected():
+    ctx = _context([])
+    with pytest.raises(ToolError):
+        asyncio.run(ctx.resolve(None))
+
+
+def test_default_uses_preferred_reference():
+    ctx = _context(_rows(("A", 1), ("Research", 2)), preferred="Research")
+    assert asyncio.run(ctx.resolve(None)).id == 2
+
+
+def test_resolution_is_remembered_as_active():
+    ctx = _context(_rows(("A", 1), ("B", 2)))
+    asyncio.run(ctx.resolve("B"))
+    assert ctx.active is not None and ctx.active.id == 2
+    # a later default call reuses the active selection without re-choosing
+    assert asyncio.run(ctx.resolve(None)).id == 2
--- a/surfsense_mcp/uv.lock
+++ b/surfsense_mcp/uv.lock
@ -0,0 +1,769 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
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+    "python_full_version < '3.14' and sys_platform != 'win32'",
+]
+
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				`@ -0,0 +1 @@`
				`"""Cross-feature infrastructure: transport, workspace resolution, output shaping."""`
				`@ -0,0 +1 @@`
				`"""Vertical slices: one folder per capability group exposed to MCP clients."""`