Twitterapi MCP Server

Offline access to TwitterAPI.io docs for AI assistants. 54 endpoints, 19 pages, 21 blog posts.

Local serverstdioTypeScript

What is the Twitterapi MCP server?

If you already use Twitterapi, the twitterapi mcp server is the piece that lets your assistant work with it directly. Offline access to TwitterAPI.io docs for AI assistants. 54 endpoints, 19 pages, 21 blog posts.

What the server does

An MCP server that gives Claude, Cursor, VS Code Copilot, and other AI assistants instant, offline access to TwitterAPI.io documentation.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • search_twitterapi_docs — Full-text search across all docs (fuzzy matching, typo-tolerant)
  • get_twitterapi_endpoint — Get full endpoint documentation with params, examples, response schema
  • list_twitterapi_endpoints — List endpoints, optionally filtered by category
  • get_twitterapi_guide — Get guide pages (pricing, auth, rate limits, webhooks, etc.)
  • get_twitterapi_url — Fetch content by URL path or page key
  • get_twitterapi_pricing — Quick pricing overview
  • get_twitterapi_auth — Quick authentication guide
  • Cursor — The Cursor tool exposed by this server
  • Windsurf — The Windsurf tool exposed by this server

Installation

The server ships on npm as twitterapi-io-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Where it fits

Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Twitterapi's toolset — search_twitterapi_docs, get_twitterapi_endpoint, list_twitterapi_endpoints and 6 more — is a fair guide to whether it matches your workflow. It is maintained by dorukardahan; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Twitterapi's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Twitterapi.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
search_twitterapi_docsFull-text search across all docs (fuzzy matching, typo-tolerant)
get_twitterapi_endpointGet full endpoint documentation with params, examples, response schema
list_twitterapi_endpointsList endpoints, optionally filtered by category
get_twitterapi_guideGet guide pages (pricing, auth, rate limits, webhooks, etc.)
get_twitterapi_urlFetch content by URL path or page key
get_twitterapi_pricingQuick pricing overview
get_twitterapi_authQuick authentication guide
CursorThe Cursor tool exposed by this server.
WindsurfThe Windsurf tool exposed by this server.

How to install the Twitterapi MCP server

{
  "mcpServers": {
    "twitterapi-io": {
      "command": "npx",
      "args": ["-y", "twitterapi-io-mcp"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • Use Twitterapi to search twitterapi docs.
  • Use Twitterapi to get twitterapi endpoint.
  • Use Twitterapi to list twitterapi endpoints.

Frequently asked questions

It connects Twitterapi to MCP-compatible AI assistants such as Claude and Cursor, exposing 9 tools (search_twitterapi_docs, get_twitterapi_endpoint, list_twitterapi_endpoints, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Twitterapi directly.