twitterapi-io-mcp

Offline TwitterAPI.io documentation for Claude and AI assistants via MCP. 67 active endpoints (with full method/params/body), 32 guides, 24 blog posts. No API key needed.

hljs language-bash

# Quick install (Claude Code)
claude mcp add twitterapi-io -- npx -y twitterapi-io-mcp

What is this?

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

67 active API endpoints with full HTTP method, body/query parameters, cURL examples, and response schemas
32 guide pages covering pricing, authentication, rate limits, webhooks, streaming
24 blog posts with tutorials and use cases
All v2 write endpoints documented with login_cookies, proxy, and body params
All deprecated v1 endpoints removed — only current v2 endpoints remain
Zero API key required — everything is bundled locally

Unlike other Twitter MCP servers that proxy live API calls (and need your API key), this one ships a complete documentation snapshot. Your AI assistant reads it locally, instantly.

Recent Changes

v1.2.0: OpenAPI-first scraper rewrite — structured parameters with types, response schemas, eliminates Vercel checkpoint issues
v1.1.x: Added list_timeline + get_user_timeline, removed 7 deprecated V1 endpoints, security fixes (hono, ajv, express-rate-limit)
v1.0.23: Platform advisory — Twitter disabled since:/until: search operators. Use since_time:UNIX / until_time:UNIX instead
v1.0.22: Added 7 endpoints (get_space_detail, get_tweet_replies_v2, get_user_about, etc.)

See CHANGELOG.md for full history.

Disclaimer: Independent community project. Not affiliated with TwitterAPI.io.

Installation

Previously published as twitterapi-docs-mcp? Just change the package name — everything else stays the same.

Requires: Node.js 18.18.0+

Claude Code (recommended)

hljs language-bash

# Add globally (all projects)
claude mcp add --scope user twitterapi-io -- npx -y twitterapi-io-mcp

# Or project-only
claude mcp add twitterapi-io -- npx -y twitterapi-io-mcp

# Verify
claude mcp list

Claude Desktop

Add to your config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

hljs language-json

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

Cursor

Add to .cursor/mcp.json in your project root:

hljs language-json

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

VS Code / VS Code Insiders

Add to .vscode/mcp.json in your project root:

hljs language-json

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

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

hljs language-json

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

Docker

hljs language-bash

docker run -i --rm $(docker build -q .) 2>/dev/null

Or build from source:

hljs language-bash

git clone https://github.com/dorukardahan/twitterapi-io-mcp.git
cd twitterapi-io-mcp && npm install
node index.js

Available tools

Tool	Description	Best for
`search_twitterapi_docs`	Full-text search across all docs (fuzzy matching, typo-tolerant)	Finding endpoints, guides, or blog posts by keyword
`get_twitterapi_endpoint`	Get full endpoint documentation with params, examples, response schema	Deep dive into a specific API endpoint
`list_twitterapi_endpoints`	List endpoints, optionally filtered by category	Browsing what's available in a category
`get_twitterapi_guide`	Get guide pages (pricing, auth, rate limits, webhooks, etc.)	Understanding platform rules and setup
`get_twitterapi_url`	Fetch content by URL path or page key	When you have a direct link to docs
`get_twitterapi_pricing`	Quick pricing overview	Cost questions
`get_twitterapi_auth`	Quick authentication guide	Auth setup and API key usage

For AI assistants

If you're an AI assistant using this MCP server, here's a quick reference:

User wants...	Use this tool	Example
Find an endpoint	`search_twitterapi_docs`	`query: "advanced search"`
Endpoint details	`get_twitterapi_endpoint`	`endpoint_name: "tweet_advanced_search"`
List all endpoints	`list_twitterapi_endpoints`	`category: "user"` (optional)
Pricing info	`get_twitterapi_pricing`	No params needed
Auth guide	`get_twitterapi_auth`	No params needed
Any guide/page	`get_twitterapi_guide`	`guide_name: "qps_limits"`
Fetch by URL	`get_twitterapi_url`	`url: "pricing"`

Tips:

Search is fuzzy and typo-tolerant: "twet object" still finds results
Use max_results: 5 for focused results
All endpoints are current v2 — no deprecated endpoints remain

What can you ask?

Here are real prompts that work well with this MCP server:

"What are the rate limits for TwitterAPI.io?" — triggers get_twitterapi_guide
"Show me the tweet advanced search endpoint" — triggers get_twitterapi_endpoint
"How do I authenticate with the API?" — triggers get_twitterapi_auth
"What's the pricing?" — triggers get_twitterapi_pricing
"List all user-related endpoints" — triggers list_twitterapi_endpoints with category: "user"
"How do webhook filter rules work?" — triggers search_twitterapi_docs
"What write endpoints need login?" — triggers search_twitterapi_docs with query: "login_cookies"
"How do I upload media and create a tweet?" — triggers sequential get_twitterapi_endpoint calls

All 67 endpoints by category

Category	Count	Endpoints
User	11	`get_user_by_username`, `get_user_timeline`, `get_user_last_tweets`, `get_user_followers`, `get_user_followings`, `get_user_mention`, `get_user_verified_followers`, `get_user_about`, `batch_get_user_by_userids`, `check_follow_relationship`, `search_user`
Tweet	8	`tweet_advanced_search`, `get_tweet_by_ids`, `get_tweet_reply`, `get_tweet_replies_v2`, `get_tweet_quote`, `get_tweet_retweeter`, `get_tweet_thread_context`, `get_article`
Action	8	`create_tweet_v2`, `delete_tweet_v2`, `like_tweet_v2`, `unlike_tweet_v2`, `retweet_tweet_v2`, `follow_user_v2`, `unfollow_user_v2`, `upload_media_v2`
Community	9	`get_community_by_id`, `get_community_members`, `get_community_moderators`, `get_community_tweets`, `get_all_community_tweets`, `create_community_v2`, `delete_community_v2`, `join_community_v2`, `leave_community_v2`
List	6	`get_list_followers`, `get_list_members`, `get_list_tweets`, `list_timeline`, `add_list_member`, `remove_list_member`
Profile	3	`update_avatar_v2`, `update_banner_v2`, `update_profile_v2`
Webhook	4	`add_webhook_rule`, `get_webhook_rules`, `update_webhook_rule`, `delete_webhook_rule`
Stream	3	`add_user_to_monitor_tweet`, `get_user_to_monitor_tweet`, `remove_user_to_monitor_tweet`
Auth	1	`user_login_v2`
DM	2	`get_dm_history`, `send_dm_v2`
Account	1	`get_my_info`
Other	2	`get_trends`, `get_space_detail`

Configuration

Environment Variable	Default	Description
`TWITTERAPI_MCP_DISK_CACHE`	`1` (on)	Set to `0` to disable disk caching

Troubleshooting

npx hangs or fails on first run

The first run downloads the package from npm. If it hangs, try:

hljs language-bash

npx -y twitterapi-io-mcp@latest

Or install globally: npm install -g twitterapi-io-mcp

"Node.js version not supported"

This server requires Node.js 18.18.0 or later. Check your version:

hljs language-bash

node --version

claude mcp add not recognized

Make sure Claude Code CLI is installed and up to date:

hljs language-bash

claude --version

Server starts but no tools appear

Restart your MCP client after adding the server config. Most clients (Claude Desktop, Cursor) need a restart to detect new MCP servers.

How it works

hljs language-scss

┌─────────────┐     MCP (stdio)      ┌──────────────────┐
│   Claude /   │ ◄──────────────────► │ twitterapi-io-mcp│
│  Cursor /    │                      │                  │
│  VS Code     │                      │  Bundled docs    │
└─────────────┘                      │  (67 endpoints)  │
                                     └──────────────────┘
                                       No network needed

Property	Value
Runtime	Node.js 18.18.0+ (ES Modules, no build step)
Protocol	MCP via stdio
Caching	Hybrid (memory + disk), 24h TTL
Search	N-gram tokenization with fuzzy matching

AI assistant calls an MCP tool (search, get endpoint, etc.)
Server searches the bundled documentation snapshot
Results return instantly with no network requests

Why I built this

I use TwitterAPI.io daily for my projects. Switching between my editor and their docs site got old fast. So I packaged the entire documentation into an MCP server. Now I ask Claude and get answers without leaving my terminal.

If you work with the Twitter/X API through TwitterAPI.io, this saves you the same context-switching. Install it, forget about it, and just ask.

Development

hljs language-bash

git clone https://github.com/dorukardahan/twitterapi-io-mcp.git
cd twitterapi-io-mcp
npm install
npm test        # Run tests (48 tests)
npm start       # Start server locally
npm run scrape  # Update docs snapshot from twitterapi.io

Not using MCP?

If your AI tool doesn't support MCP (like OpenClaw), use the skill version instead — a single markdown file with all 67 active endpoints:

👉 twitterapi-io-skill — works with OpenClaw, Claude, GPT, Gemini, and any LLM.

Contributing

PRs welcome! Fork the repo, create a branch, make your changes, and open a pull request. Bug reports and feature requests go to GitHub Issues.

License

MIT

Acknowledgments

TwitterAPI.io for the API service
Anthropic for the Model Context Protocol
MCP TypeScript SDK

twitterapi-io-mcp

twitterapi-io-mcp

What is this?

Recent Changes

Installation

Claude Code (recommended)

Claude Desktop

Cursor

VS Code / VS Code Insiders

Windsurf

Docker

Available tools

For AI assistants

What can you ask?

Configuration

Troubleshooting

How it works

Why I built this

Development

Not using MCP?

Links

Contributing

License

Acknowledgments

Similar Packages

Security

Tags

Original Author

Publisher