Anysite MCP Server — 5 meta-tools accessing 3,600+ endpoints across 600+ data sources
The Anysite MCP Server gives AI agents (Claude Desktop, Claude Code, Cursor, n8n) direct access to 3,600+ data endpoints across 600+ sources — LinkedIn, Instagram, Twitter, Reddit, YouTube, ProductHunt, Google, SEC, and many more.
Instead of calling REST APIs manually, your AI agent discovers available endpoints, fetches data, and analyzes results — all through a single MCP connection.
LinkedIn, Instagram, Twitter, Reddit, YouTube, ProductHunt, Google, SEC, and 30+ more sources
discover → execute → get_page → query_cache → export_data
New endpoints appear automatically — no server updates needed
The Anysite MCP Server uses a meta-tool architecture with 5 universal tools instead of individual tools per endpoint. This reduces context window usage by 2.5x and supports dynamic endpoint discovery.
| Tool | Purpose |
|---|---|
| discover | Learn what endpoints exist and what parameters they accept |
| execute | Fetch data from any endpoint |
| get_page | Paginate through large result sets from cache |
| query_cache | Filter, sort, and aggregate cached results server-side |
| export_data | Download full datasets as JSON/CSV/JSONL files |
1. discover("linkedin", "user")
→ Returns endpoint names, parameter schemas, and LLM hints
2. execute("linkedin", "user", "get", {"user": "darioamodei"})
→ Fetches data, returns first 10 items + cache_key
3. get_page(cache_key, offset=10)
→ Next page from cache (no new API call)
4. query_cache(cache_key, conditions=[{"field": "followers", "op": ">", "value": 1000}])
→ Filter/aggregate in cache without loading data into context
5. export_data(cache_key, "csv")
→ Download full dataset as file
Why meta-tools? Instead of loading 1,100+ tool definitions into the LLM context, only 5 compact definitions are needed. The LLM first discovers what's available via discover(), then calls the right endpoint with correct parameters via execute().
**35 endpoints**
Profile search, company data, posts, comments, skills, experience, and more
**8 endpoints**
Posts, comments, likes, user profiles, friendships, and reels
**4 endpoints**
User search, profiles, posts, and content extraction
**11 endpoints**
Post search, user posts, comments, and content extraction
**14 endpoints**
Video search, channel videos, video details, comments, and subtitles
**23 endpoints**
Products, launches, makers, topics, and collections
**10 endpoints**
Web search, news, maps, and related results
**2 endpoints**
Webpage parsing and sitemap extraction
**3 endpoints**
YC company data, founder search, and startup intelligence
**2 endpoints**
SEC company filings and document search
**1 endpoint**
Web search powered by DuckDuckGo
**~70 endpoints**
Amazon, Facebook, TikTok, Yahoo, Crunchbase, Companies House, GitHub, and 20+ more
Browse complete reference of all 1,100+ available MCP endpoints
Sign up at [app.anysite.io](https://app.anysite.io) and copy your Remote MCP Server URL
Add the MCP URL to your preferred client:
OAuth connection in 60 seconds
CLI integration for developers
IDE integration for coding
Workflow automation
Ask your AI agent naturally — it will use `discover` and `execute` automatically:
> "Find the LinkedIn profile of Sam Altman and show me his recent posts"
> "Search for YC companies in the AI space from batch W2024"
Full reference of 3,600+ endpoints with parameters and examples
Server-side filtering, aggregation, and export with query_cache
Build your own endpoints that appear automatically in MCP
$30/month for unlimited MCP requests