twitterapi-mcp
A Model Context Protocol (MCP) server that provides access to Twitter data through the TwitterAPI.io service, enabling Claude and other MCP clients to interact with Twitter's ecosystem without requiring Twitter developer account approval.
README
TwitterAPI MCP Server
A Model Context Protocol (MCP) server that provides access to Twitter data through the TwitterAPI.io service. This server enables Claude and other MCP clients to interact with Twitter's ecosystem without requiring Twitter developer account approval.
Features
- User Information: Get detailed user profiles, followers, and following lists
- Tweet Operations: Search tweets, get tweet details, replies, and user timelines
- Search Capabilities: Advanced search for both tweets and users
- Write Actions: Post tweets and interact with content (requires login)
- Enterprise Ready: Proxy support and robust error handling
- No Twitter Auth: Uses TwitterAPI.io which doesn't require Twitter developer approval
Installation
Quick Start with npx (Recommended)
npx twitterapi-mcp
Global Installation
npm install -g twitterapi-mcp
Local Installation
npm install twitterapi-mcp
Configuration
Environment Variables
TWITTERAPI_API_KEY- Your TwitterAPI.io API key (required)PROXY_URLorHTTP_PROXY- Proxy URL for enterprise environments (optional)
Getting an API Key
- Visit TwitterAPI.io
- Create a free account
- Get your API key from the dashboard
- Set the
TWITTERAPI_API_KEYenvironment variable
Usage with Claude Desktop
Add this server to your Claude Desktop configuration:
{
"mcpServers": {
"twitterapi": {
"command": "npx",
"args": ["twitterapi-mcp"],
"env": {
"TWITTERAPI_API_KEY": "your_api_key_here"
}
}
}
}
With Proxy Support
{
"mcpServers": {
"twitterapi": {
"command": "npx",
"args": ["twitterapi-mcp"],
"env": {
"TWITTERAPI_API_KEY": "your_api_key_here",
"PROXY_URL": "http://proxy.company.com:8080"
}
}
}
}
Available Tools
User Information
get_user_by_username- Get user details by usernameget_user_by_id- Get user details by user IDget_user_followers- Get user's followers listget_user_following- Get list of users someone followssearch_users- Search for users by query
Tweet Operations
get_user_tweets- Get tweets from a specific usersearch_tweets- Search tweets by keywordsget_tweet_by_id- Get specific tweet detailsget_tweet_replies- Get replies to a tweet
Write Actions (Requires Login)
login_user- Login to Twitter accountcreate_tweet- Post new tweets or replies
Examples
Get User Information
// Get user by username
await get_user_by_username({ username: "elonmusk" })
// Get user followers
await get_user_followers({ username: "elonmusk", count: 50 })
Search and Retrieve Tweets
// Search recent tweets
await search_tweets({
query: "artificial intelligence",
count: 20,
result_type: "recent"
})
// Get user's recent tweets
await get_user_tweets({ username: "openai", count: 10 })
// Get tweet details
await get_tweet_by_id({ tweet_id: "1234567890123456789" })
Create Content (Requires Login)
// Login first
await login_user({
username: "your_username",
password: "your_password"
})
// Post a tweet
await create_tweet({ text: "Hello from MCP!" })
// Reply to a tweet
await create_tweet({
text: "Great point!",
reply_to: "1234567890123456789"
})
API Limits and Pricing
TwitterAPI.io offers:
- Pay-as-you-go: $0.15 per 1,000 tweets
- High Performance: 1000+ requests per second
- Free Trial: $0.1 in credits to start
- No Monthly Fees: Only pay for what you use
Development
Building from Source
git clone https://github.com/yourusername/twitterapi-mcp.git
cd twitterapi-mcp
npm install
npm run build
Running in Development Mode
npm run dev
Testing the Server
# Test with MCP client
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}' | node build/index.js
Architecture
This MCP server is built with:
- TypeScript: Type-safe implementation
- @modelcontextprotocol/sdk: Official MCP SDK
- axios: HTTP client with proxy support
- Enterprise Features: Proxy support, comprehensive error handling
Project Structure
twitterapi-mcp/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript
├── package.json # Package configuration
├── tsconfig.json # TypeScript configuration
└── README.md # Documentation
Error Handling
The server includes comprehensive error handling for:
- API authentication failures
- Rate limiting responses
- Network connectivity issues
- Invalid parameters
- Service unavailability
Security Considerations
- API keys should be stored as environment variables
- Login credentials are only used for authentication, not stored
- All requests use HTTPS
- Proxy support for enterprise security requirements
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
- Documentation: TwitterAPI.io Docs
- Issues: GitHub Issues
- Twitter Support: TwitterAPI.io Support
Acknowledgments
- Built on TwitterAPI.io service
- Uses the Model Context Protocol
- Inspired by the growing MCP ecosystem
Note: This is an unofficial MCP server for TwitterAPI.io. Make sure to comply with Twitter's Terms of Service when using this tool.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。