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What is Anysite MCP Server?

The Anysite MCP Server gives AI agents (Claude Desktop, Claude Code, Cursor, n8n) direct access to 1,400+ data endpoints across 250+ 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.

1,400+ Endpoints

LinkedIn, Instagram, Twitter, Reddit, YouTube, ProductHunt, Google, SEC, and 30+ more sources

5 Meta-Tools

discover → execute → get_page → query_cache → export_data

Zero Config

New endpoints appear automatically — no server updates needed

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Architecture: 5 Meta-Tools

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.
ToolPurpose
discoverLearn what endpoints exist and what parameters they accept
executeFetch data from any endpoint
get_pagePaginate through large result sets from cache
query_cacheFilter, sort, and aggregate cached results server-side
export_dataDownload full datasets as JSON/CSV/JSONL files

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Workflow

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().

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Data Sources

LinkedIn

35 endpointsProfile search, company data, posts, comments, skills, experience, and more

Instagram

8 endpointsPosts, comments, likes, user profiles, friendships, and reels

Twitter/X

4 endpointsUser search, profiles, posts, and content extraction

Reddit

11 endpointsPost search, user posts, comments, and content extraction

YouTube

14 endpointsVideo search, channel videos, video details, comments, and subtitles

ProductHunt

23 endpointsProducts, launches, makers, topics, and collections

Google

10 endpointsWeb search, news, maps, and related results

Web Parser

2 endpointsWebpage parsing and sitemap extraction

Y Combinator

3 endpointsYC company data, founder search, and startup intelligence

SEC

2 endpointsSEC company filings and document search

DuckDuckGo

1 endpointWeb search powered by DuckDuckGo

Other Sources

~70 endpointsAmazon, Facebook, TikTok, Yahoo, Crunchbase, Companies House, GitHub, and 20+ more

View All Endpoints

Browse complete reference of all 1,100+ available MCP endpoints

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Quick Start

1

Get your MCP URL

Sign up at app.anysite.io and copy your Remote MCP Server URL
2

Connect your AI client

Add the MCP URL to your preferred client:

Claude Desktop

OAuth connection in 60 seconds

Claude Code

CLI integration for developers

Cursor

IDE integration for coding

n8n

Workflow automation
3

Start using

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”

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Next Steps

All Endpoints

Full reference of 1,400+ endpoints with parameters and examples

Data Analysis

Server-side filtering, aggregation, and export with query_cache

Custom Endpoints

Build your own endpoints that appear automatically in MCP

Unlimited Plan

$30/month for unlimited MCP requests