Web data through natural language

Give Claude, Cursor, or ChatGPT structured access to LinkedIn, Instagram, Twitter, Reddit, YouTube, and any website. Ask in plain English. Get structured JSON back.

Describe the data you need. Your AI assistant fetches, filters, and exports it — no API calls to write, no endpoints to memorize.

Use code MCP30 for your first month free.

5
meta-tools
~1,000
tokens at startup
$30/mo
MCP Unlimited

How it works

1
Install Once

Add our MCP server to Claude Desktop, Claude Code, or Cursor. One connection string. Takes 60 seconds.

2
Ask Naturally

"Find marketing managers in San Francisco on LinkedIn" — describe what you need in plain English.

3
Get Structured Data

Structured JSON appears directly in your AI conversation.

{
  "name": "Dario Amodei",
  "headline": "CEO at Anthropic",
  "location": "San Francisco, CA",
  "experience": [...],
  "education": [...]
}
4
Act on Results

Your AI can analyze, filter, export, and act on the data. No context switching. No copy-pasting.

Under the hood, 5 universal tools handle all endpoints dynamically — new data sources appear automatically without server updates.

Natural language queries
Ask in plain English — "Find VPs of Sales at SaaS companies in New York." No endpoint lookup, no parameters to learn, no code to write. Your AI assistant handles the rest.
Every major platform + any URL
Pre-built for LinkedIn, Instagram, Twitter, Reddit, YouTube, SEC EDGAR, Crunchbase, Y Combinator, and DuckDuckGo. The AI-powered web parser handles everything else — give it any URL and get structured JSON back.
Server-side analysis
Filter, sort, and aggregate cached results on the server. Your AI works with targeted data, not raw dumps. Keep context windows clean and token costs low. Full query_cache reference
$30/mo unlimited
No credit counting. No usage anxiety. MCP Unlimited covers all tools and all sources. Use it as much as you want — the price doesn't change.

Works with your AI tools

Client Setup Auth Status
Claude DesktopOAuth connector — paste URL, authorizeOAuthSupported
Cursor IDESingle JSON config fileAPI keySupported
Claude CodeOne CLI commandAPI keySupported
Any MCP ClientStandard MCP 1.0 over SSEAPI keySupported

Pre-built platforms + any URL

Ready-made endpoints for major platforms. AI-powered extraction for any other website. All through the same 5 meta-tools.

Professional

  • LinkedIn — profiles, companies, jobs, posts, search, email finder

Social

  • Twitter/X — user profiles, tweets, search with engagement filters
  • Instagram — profiles, posts, reels, search
  • Reddit — posts, comments, subreddits, search
  • YouTube — videos, channels, search, subtitles

Business Intelligence

  • Crunchbase — company profiles
  • SEC EDGAR — filings, company search
  • Glassdoor — company reviews
  • G2 — software reviews
  • TrustPilot — business reviews
  • BuiltWith — technology stack data
  • Capterra — software reviews

Startup Ecosystem

  • Y Combinator — company search, founders, details
  • ProductHunt — product launches

Search

  • DuckDuckGo — web search
  • Google Maps — location data (AI parser)
  • HackerNews — posts and comments
  • GitHub — repos and user data

Web

  • Web Parser — any URL to structured data
  • Sitemap Parser — full site crawls

What you can do with it

Working examples — each shows the natural language request, what runs under the hood, and what you get back.

Lead Generation
"Find CTOs at Series A fintech startups in New York with AI or ML background."
What happens: The server discovers the right search endpoint, runs the query, caches results, and filters server-side by seniority. Your AI gets a targeted list — not 200 raw profiles to sort through.
You get: Structured list of CTO profiles with name, company, current role, LinkedIn URL, and email where available.
Competitive Intelligence
"Get the last 50 posts from @competitor on LinkedIn and Twitter. Summarize their product announcements and engagement metrics."
What happens: Fetches LinkedIn company posts and Twitter posts in parallel. Aggregates average engagement by post type server-side. Your AI summarizes with clean, structured data already loaded.
You get: Summary of announcements by topic, average engagement by post type, notable spikes flagged.
Market Research
"Search Reddit and HackerNews for discussions about our product category from the last 30 days. Identify the top pain points."
What happens: Searches Reddit and HackerNews with time filters. Filters by comment count and sorts by recency server-side. Your AI extracts pain points from the filtered dataset.
You get: Summary of recurring pain points by frequency, with source posts linked.

Connect in 60 seconds

Three setup paths depending on your client. Claude Desktop uses OAuth — no API keys. Claude Code and Cursor use an API key in a single config line.

  1. Go to anysite.io and open the MCP Server integration page
  2. Copy the OAuth URL: https://mcp.anysite.io/mcp
  3. In Claude Desktop: Settings → Connectors → Add Custom Connector
  4. Paste the URL and click Connect
  5. Authorize in your browser (one-time)
One required setting: In Claude Desktop: Settings → Capabilities → Tool access → select "Tools already loaded".

This ensures the 5 meta-tools are always in context. The default "Load tools when needed" mode uses name-based matching that doesn't work well with generic names like discover and execute.
Verify: Ask Claude: "What MCP tools do you have?"
claude mcp add --transport sse anysite \
  "https://api.anysite.io/mcp/direct?api_key=YOUR_KEY"
Verify:
claude mcp list
# anysite     connected

Add to ~/.cursor/config.json:

{
  "mcpServers": {
    "anysite": {
      "url": "https://api.anysite.io/mcp/direct?api_key=YOUR_KEY",
      "transport": "sse"
    }
  }
}
Verify: Open Cursor, type /mcp to see available tools.
Get API Key

MCP to explore. CLI to execute.

MCP and the CLI run on the same engine. MCP is conversational — describe what you want, get targeted results. CLI is operational — YAML pipelines, batch jobs, scheduled collection at scale.

MCP Server Anysite CLI
InterfaceNatural language via AI assistantYAML pipelines, terminal
Best forExploration, ad-hoc queries, researchProduction pipelines, batch processing
SetupConnect in 60 secondspip install, one config file
Data volumeSingle queries, filtered resultsThousands of records, parallel execution
StorageClickHouse cache, 7-day exportAny database (SQLite, PostgreSQL, ClickHouse)
SchedulingNot built inCron scheduling included
LLM enrichmentVia your AI assistantBuilt-in (classify, summarize, enrich)
Pricing$30/mo unlimitedCredit-based plans from $49/mo
Most teams use both: MCP to understand what data is available and prototype a workflow, CLI to run that workflow in production on a schedule.
Read about the Anysite CLI

Pricing

MCP Unlimited is the straightforward option: $30/month for unlimited MCP requests with no credit counting. Credit-based plans include MCP access if you also need the REST API or CLI.

MCP Unlimited covers MCP access only. If you also need the REST API or CLI, credit-based plans include MCP access.

Need REST API or CLI too?

Plan Price Credits Rate Limit
Starter$49/mo15K credits60 req/min
Growth$200/mo100K credits90 req/min
Scale$300/mo190K credits150 req/min
Pro$549/mo425K credits200 req/min
Enterprise$1,199+/mo1.2M+ credits200 req/min
All credit-based plans include full MCP access.
Starter plan includes a 7-day free trial with 1,000 credits.
PAYG top-ups available at $2.90 per 1K credits (minimum $20, requires active subscription).
First month free with code MCP30. Apply at checkout.

Common questions

How do I set up the MCP Server with Claude Desktop?
Go to anysite.io, copy the OAuth URL (https://mcp.anysite.io/mcp), and add it as a custom connector in Claude Desktop under Settings → Connectors. One important step: in Settings → Capabilities → Tool access, select "Tools already loaded" — the default setting doesn't work well with generic tool names like discover and execute.
Can I use this with Cursor or other MCP clients?
Yes. The server uses standard MCP 1.0 over SSE transport. Any MCP-compatible client works. Cursor setup is a single JSON config file. See the setup section for exact configuration.
What platforms does the MCP Server support?
Ready-made endpoints for LinkedIn, Instagram, Twitter/X, Reddit, YouTube, DuckDuckGo, SEC EDGAR, Y Combinator, and Crunchbase. AI-powered parsers for GitHub, Amazon, G2, HackerNews, BuiltWith, Google Maps, and more. Plus any URL via the web parser.
How does authentication work?
Claude Desktop supports OAuth — no API keys to manage. Claude Code and Cursor use an API key in a single config line. Both methods are covered in the setup section. OAuth is recommended when available because it handles token rotation automatically.

Get web data in your next conversation

MCP Unlimited gives your AI assistant structured access to LinkedIn, Instagram, Twitter, and 40+ other sources. Ask in plain English. No endpoint management. No per-request counting.

First month free with code MCP30.