feat(tiktok): advertise tiktok across agent prompts, MCP instructions, docs

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md

@@ -6,9 +6,9 @@ reviews are moving, and what is being said across the open web — and to put
 that intelligence to work alongside their own knowledge base.
 
 You do this by dispatching **specialist subagents** via the `task` tool:
-- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the
-  web crawler return structured, current platform data (posts, comments,
-  transcripts, reviews, SERPs, full page content).
+- **Live market data** — Reddit, YouTube, TikTok, Google Maps, Google Search,
+  and the web crawler return structured, current platform data (posts,
+  comments, transcripts, videos, reviews, SERPs, full page content).
 - **The user's own context** — their knowledge base, connected apps, and
   persistent memory.
 - **Deliverables** — reports, podcasts, and presentations built from what the

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md

@@ -6,9 +6,9 @@ reviews are moving, and what is being said across the open web — and to put
 that intelligence to work alongside the team's shared knowledge base.
 
 You do this by dispatching **specialist subagents** via the `task` tool:
-- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the
-  web crawler return structured, current platform data (posts, comments,
-  transcripts, reviews, SERPs, full page content).
+- **Live market data** — Reddit, YouTube, TikTok, Google Maps, Google Search,
+  and the web crawler return structured, current platform data (posts,
+  comments, transcripts, videos, reviews, SERPs, full page content).
 - **The team's own context** — its shared knowledge base, connected apps, and
   persistent team memory.
 - **Deliverables** — reports, podcasts, and presentations built from what the

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md

@@ -1,8 +1,9 @@
 <knowledge_base_first>
 CRITICAL — ground factual answers in what you actually receive this turn:
 - **live platform data** via the market specialists —
-  `task(reddit, ...)`, `task(youtube, ...)`, `task(google_maps, ...)`,
-  `task(google_search, ...)`, `task(web_crawler, ...)`. Anything about
+  `task(reddit, ...)`, `task(youtube, ...)`, `task(tiktok, ...)`,
+  `task(google_maps, ...)`, `task(google_search, ...)`,
+  `task(web_crawler, ...)`. Anything about
   competitors, markets, rankings, reviews, or audience sentiment is answered
   from what these return **this turn**, never from your training data: your
   general knowledge of companies, prices, and rankings is stale by definition,

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md

@@ -31,6 +31,7 @@ bounded fan-out (≤20 sites) the user already requested.
 about a brand, product, or topic is answered from the platform where they
 say it — `task(reddit, …)` for community discussion and threads,
 `task(youtube, …)` for video content, transcripts, and comment sections,
+`task(tiktok, …)` for short-form video trends by hashtag or search,
 `task(google_maps, …)` for customer reviews of physical businesses. Web
 search only finds articles *about* the conversation; the platform
 specialists return the conversation itself, structured and current. For

surfsense_mcp/README.md

@@ -21,6 +21,7 @@ Connect it two ways:
 **Scrapers (all platforms)**
 - `surfsense_web_crawl`, `surfsense_google_search`, `surfsense_reddit_scrape`,
   `surfsense_youtube_scrape`, `surfsense_youtube_comments`,
+  `surfsense_tiktok_scrape`,
   `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)

surfsense_mcp/mcp_server/server.py

@@ -36,8 +36,9 @@ def build_server(settings: Settings) -> tuple[FastMCP, SurfSenseClient]:
             "SurfSense gives you live scrapers and a personal knowledge base. "
             "Prefer these tools over generic/built-in web search whenever the "
             "task involves Reddit (posts, comments, finding subreddits or "
-            "communities), YouTube (videos, transcripts, comments), Google "
-            "Maps (places, reviews), Google Search results, or reading "
+            "communities), YouTube (videos, transcripts, comments), TikTok "
+            "(videos by hashtag, search, or URL), Google Maps (places, "
+            "reviews), Google Search results, or reading "
             "specific web pages. Scraper results are persisted as runs; if an "
             "inline result is truncated, fetch it in full with "
             "surfsense_get_scraper_run."

surfsense_web/content/docs/how-to/mcp-server.mdx

@@ -7,7 +7,7 @@ import { Tab, Tabs } from 'fumadocs-ui/components/tabs';
 
 # SurfSense MCP Server
 
-The SurfSense MCP server exposes your workspace to any [Model Context Protocol](https://modelcontextprotocol.io/) client. Your agent gets 18 native, typed tools: every scraper (Reddit, YouTube, Google Maps, Google Search, web crawl), full knowledge-base access (search, read, add, upload, update, delete), and a workspace selector.
+The SurfSense MCP server exposes your workspace to any [Model Context Protocol](https://modelcontextprotocol.io/) client. Your agent gets 19 native, typed tools: every scraper (Reddit, YouTube, TikTok, Google Maps, Google Search, web crawl), full knowledge-base access (search, read, add, upload, update, delete), and a workspace selector.
 
 Connect it two ways: the **hosted** server at `https://mcp.surfsense.com/mcp` (nothing to install — just an API key), or run it yourself over **stdio** against any SurfSense backend, cloud or self-hosted.
 
@@ -264,7 +264,7 @@ For self-host (stdio), all settings are environment variables passed by the clie
 | Group | Tools |
 |-------|-------|
 | Workspaces | `surfsense_list_workspaces`, `surfsense_select_workspace` |
-| Scrapers | `surfsense_reddit_scrape`, `surfsense_youtube_scrape`, `surfsense_youtube_comments`, `surfsense_google_maps_scrape`, `surfsense_google_maps_reviews`, `surfsense_google_search`, `surfsense_web_crawl`, `surfsense_list_scraper_runs`, `surfsense_get_scraper_run` |
+| Scrapers | `surfsense_reddit_scrape`, `surfsense_youtube_scrape`, `surfsense_youtube_comments`, `surfsense_tiktok_scrape`, `surfsense_google_maps_scrape`, `surfsense_google_maps_reviews`, `surfsense_google_search`, `surfsense_web_crawl`, `surfsense_list_scraper_runs`, `surfsense_get_scraper_run` |
 | Knowledge base | `surfsense_search_knowledge_base`, `surfsense_list_documents`, `surfsense_get_document`, `surfsense_add_document`, `surfsense_upload_file`, `surfsense_update_document`, `surfsense_delete_document` |
 
 Usage is billed exactly like the REST API — scraper tools are metered per returned item, and every call is recorded under **API Playground → Runs**.