twitter-mcp
Enables AI assistants to interact with Twitter/X using session cookies. Supports posting, searching, managing tweets, viewing trends, and user profiles.
README
Twitter MCP Server
MCP (Model Context Protocol) server to interact with Twitter/X directly from any MCP-compatible AI assistant (like opencode). Uses your Twitter session cookies for authentication — no API keys needed.
Features
- Post, delete, like, and retweet tweets
- Search tweets by keyword
- View home timeline, user timeline, and tweet details
- Get current trending topics
- Look up user profiles
- Follow/unfollow users
- Authenticated user profile info
Quick Start
1. Get your Twitter cookies
- Open Twitter/X in your browser (logged in)
- Open DevTools (
F12) → Application → Cookies →https://x.com - Copy the values for
auth_tokenandct0
2. Configure
cp .env.example .env
Edit .env:
TWITTER_AUTH_TOKEN=seu_auth_token_aqui
TWITTER_CT0=seu_ct0_aqui
3. Install dependencies
pip install -r requirements.txt
4. Run
python server.py
The server will start and listen on stdio, ready for MCP connections.
Register with opencode
Add to ~/.config/opencode/opencode.jsonc:
{
"mcpServers": {
"twitter": {
"command": "python3",
"args": ["/path/to/twitter-mcp/server.py"],
"env": {
"TWITTER_AUTH_TOKEN": "seu_token",
"TWITTER_CT0": "seu_ct0"
}
}
}
}
Register with Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"twitter": {
"command": "python3",
"args": ["/caminho/para/twitter-mcp/server.py"],
"env": {
"TWITTER_AUTH_TOKEN": "seu_token",
"TWITTER_CT0": "seu_ct0"
}
}
}
}
Register with Codex (by Cursor)
Create/edit ~/.codex/config.json:
{
"mcpServers": {
"twitter": {
"command": "python3",
"args": ["/caminho/para/twitter-mcp/server.py"],
"env": {
"TWITTER_AUTH_TOKEN": "seu_token",
"TWITTER_CT0": "seu_ct0"
}
}
}
}
Tools
| Tool | Description | Arguments |
|---|---|---|
post_tweet |
Post a tweet | text (string, required) |
delete_tweet |
Delete a tweet | tweet_id (string, required) |
like_tweet |
Like a tweet | tweet_id (string, required) |
retweet |
Retweet a tweet | tweet_id (string, required) |
search_tweets |
Search tweets | query (string, required), count (int, default 20, max 50) |
get_home_timeline |
Your home timeline | count (int, default 20, max 50) |
get_user_timeline |
Tweets from a user | user_id (string, required), count (int, default 20) |
get_user_by_username |
User profile info | username (string, required, without @) |
get_tweet_detail |
Full tweet details | tweet_id (string, required) |
get_trends |
Current trending topics | — |
get_authenticated_user |
Your own profile | — |
follow_user |
Follow a user | user_id (string, required) |
How it works
The server authenticates via auth_token and ct0 session cookies, then makes requests directly to the Twitter/X internal GraphQL API. Query IDs are extracted from the official Twitter web client bundle, so no API keys or OAuth are needed.
Tests
python -m pytest test_twitter.py -v
CI
On every push to main, GitHub Actions runs all tests and automatically creates a tag (v1.YYYYMMDD.HHMM).
Project structure
├── server.py # MCP server entry point (12 tools via FastMCP)
├── twitter_client.py # HTTP client for Twitter GraphQL API
├── auth.py # Authentication via session cookies
├── test_twitter.py # Tests (16 tests, mocked API)
├── requirements.txt # Python dependencies
├── .env.example # Cookie config template
├── .github/workflows/ # CI pipeline
└── README.md
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