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00a1a22b74
* refactor: carve out extraction panel * refactor: create spec versions for node types * refactor: create a GenericNode and remove custom nodes * feat: add python and typescript sdk * add dograh sdk * fix: fetch draft workflow definition over published one * fix: fix routes of SDKs to use code gen * chore: remove doclink dependency to reduce image size * chore: format files * chore: bump pipecat * feat: let mcp fetch archived workflows on demand * chore: fix tests * feat: add sdk documentation * chore: change banner and add badge
113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
"""MCP discovery tools for the reference catalogs.
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Node properties of type `tool_refs`, `document_refs`, `recording_ref`, and
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`credential_ref` carry UUIDs that resolve against these catalogs. LLMs must
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list the catalog before populating those fields with real UUIDs.
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"""
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from api.db import db_client
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from api.mcp_server.auth import authenticate_mcp_request
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from api.mcp_server.server import mcp
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from api.mcp_server.tracing import traced_tool
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@mcp.tool
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@traced_tool
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async def list_tools(status: str | None = "active") -> list[dict]:
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"""List tools the agent can invoke during a call.
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Returns each tool's `tool_uuid` (use this in node `tool_uuids` properties),
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`name`, `description`, and `category`. Pass `status=None` to include
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archived tools.
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"""
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user = await authenticate_mcp_request()
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tools = await db_client.get_tools_for_organization(
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organization_id=user.selected_organization_id,
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status=status,
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)
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return [
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{
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"tool_uuid": t.tool_uuid,
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"name": t.name,
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"description": t.description or "",
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"category": t.category,
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}
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for t in tools
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]
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@mcp.tool
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@traced_tool
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async def list_documents() -> list[dict]:
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"""List knowledge-base documents the agent can reference during a call.
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Returns each document's `document_uuid` (use this in node
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`document_uuids` properties), `filename`, and `processing_status`.
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"""
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user = await authenticate_mcp_request()
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documents = await db_client.get_documents_for_organization(
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organization_id=user.selected_organization_id,
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)
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return [
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{
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"document_uuid": d.document_uuid,
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"filename": d.filename,
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"processing_status": d.processing_status,
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"total_chunks": d.total_chunks,
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}
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for d in documents
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]
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@mcp.tool
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@traced_tool
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async def list_credentials() -> list[dict]:
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"""List external credentials available for webhook auth and pre-call fetch.
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Returns each credential's `credential_uuid` (use this in node
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`credential_uuid` / `pre_call_fetch_credential_uuid` properties), `name`,
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`description`, and `credential_type`.
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"""
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user = await authenticate_mcp_request()
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credentials = await db_client.get_credentials_for_organization(
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organization_id=user.selected_organization_id,
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)
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return [
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{
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"credential_uuid": c.credential_uuid,
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"name": c.name,
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"description": c.description or "",
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"credential_type": c.credential_type,
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}
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for c in credentials
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]
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@mcp.tool
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@traced_tool
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async def list_recordings(workflow_id: int | None = None) -> list[dict]:
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"""List pre-recorded audio files available for greetings and edge
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transition speech.
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Returns each recording's `recording_id` (use this in
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`greeting_recording_id` / `transition_speech_recording_id` properties),
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`transcript`, and TTS metadata. Pass `workflow_id` to filter to one
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workflow's recordings.
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"""
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user = await authenticate_mcp_request()
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recordings = await db_client.get_recordings(
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organization_id=user.selected_organization_id,
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workflow_id=workflow_id,
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)
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return [
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{
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"id": r.id,
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"recording_id": r.recording_id,
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"workflow_id": r.workflow_id,
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"transcript": r.transcript,
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"tts_provider": r.tts_provider,
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"tts_model": r.tts_model,
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"tts_voice_id": r.tts_voice_id,
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}
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for r in recordings
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]
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