Twitter MCP Server
A powerful Twitter integration for AI agents that leverages the Model Context Protocol (MCP) standard, providing a comprehensive set of Twitter functionality through a clean and consistent interface.
Overview
This server provides access to Twitter’s features through MCP tools, allowing seamless integration with AI assistants and other MCP-compatible clients. It’s built on top of the agent-twitter-client
library and provides robust error handling, rate limiting, and consistent response formatting.
Features
Basic Reading
- Get tweets from users with media support
- Fetch user profiles with detailed information
- Search tweets by hashtags or keywords
- Filter search results by latest/top
- Rate limiting (max 50 tweets per request)
User Interactions
- Like/Unlike tweets
- Retweet/Undo retweet
- Post tweets with:
- Text content
- Media attachments (images, videos)
- Reply functionality
- Quote tweet capability
Advanced Features
- Get user relationships (followers/following)
- Fetch trending topics
- Access different timeline types:
- Home timeline
- Following timeline
- User timeline
- List management (fetch list tweets)
Media & Advanced Interactions
- Media handling:
- Image upload (JPEG, PNG, GIF)
- Video upload (MP4)
- Alt text support
- Thread creation
- Follow/Unfollow users
Tools
Reading Tools
get_tweets
- Fetch recent tweets from a userget_profile
- Get a user’s profile informationsearch_tweets
- Search for tweets by hashtag or keyword
Interaction Tools
like_tweet
- Like or unlike a tweetretweet
- Retweet or undo retweetpost_tweet
- Post a new tweet with optional mediacreate_thread
- Create a Twitter thread
Timeline Tools
get_timeline
- Get tweets from different timeline typesget_list_tweets
- Get tweets from a Twitter listget_trends
- Get current trending topics
User Management Tools
get_user_relationships
- Get followers or following listfollow_user
- Follow or unfollow a user
Installation
- Install dependencies:
npm install
- Build the server:
npm run build
- Configure environment variables:
# Required: Twitter Account Credentials (for user authentication)
TWITTER_USERNAME=your_username
TWITTER_PASSWORD=your_password
TWITTER_EMAIL=your_email
# Twitter API Authentication (Optional)
TWITTER_API_KEY=your_api_key
TWITTER_API_SECRET_KEY=your_api_secret_key
TWITTER_ACCESS_TOKEN=your_access_token
TWITTER_ACCESS_TOKEN_SECRET=your_access_token_secret
- Add the server config to your MCP client:
On MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Configuration:
{
"mcpServers": {
"twitter-mcp-server": {
"command": "/path/to/twitter-mcp-server/build/index.js"
}
}
}
Development
For development with auto-rebuild:
npm run watch
Debugging
Since MCP servers communicate over stdio, you can use the MCP Inspector for debugging:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Error Handling
The server implements comprehensive error handling:
- Input validation for all parameters
- Rate limiting protection
- Detailed error messages
- Proper error propagation
- Logging for debugging
Response Format
All tools return responses in a consistent format:
{
content: [{
type: "text",
text: string // JSON stringified response or error message
}]
}
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see LICENSE file for details
Twitter MCP Server
Project Details
- taazkareem/twitter-mcp-server
- twitter-mcp-server
- Last Updated: 4/10/2025
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