Twitter/X MCP Server
Connects AI assistants to Twitter/X using cookie-based authentication to read timelines, search tweets, and perform actions like posting and liking. It leverages Twitter's internal GraphQL API to provide full functionality without requiring a developer account.
README
Twitter/X MCP Server
A Model Context Protocol server that gives AI assistants full read/write access to Twitter/X through cookie-based authentication. No Developer account or OAuth app required.
Features
- 12 tools covering timelines, search, profiles, trends, posting, likes, retweets, and replies
- Cookie-based auth -- uses your browser session cookies, no Twitter API keys needed
- Dual-engine architecture -- fast HTTP via undici for reads, headless Puppeteer with stealth plugin for writes
- Anti-bot bypass -- puppeteer-extra-plugin-stealth avoids Twitter automation detection (error 226)
- Auto CSRF refresh -- ct0 tokens refreshed transparently when Twitter rotates them
- Clean JSON output -- nested GraphQL responses parsed into simple, structured objects
- Type-safe -- strict TypeScript with Zod schema validation on every tool input
- MCP standard -- works with Claude Desktop, Claude Code, and any MCP-compatible client
Prerequisites
- Node.js >= 18.0.0
- npm >= 8.0.0
- A Twitter/X account with an active browser session
Installation
git clone https://github.com/aditya-ai-architect/twitter-mcp.git
cd twitter-mcp
npm install
npm run build
Getting Your Twitter Cookies
- Open x.com and log in
- Open Developer Tools (F12)
- Go to Application > Cookies >
https://x.com - Copy these two values:
| Cookie | Description |
|---|---|
auth_token |
Session authentication token |
ct0 |
CSRF protection token |
Both cookies must come from the same active session.
Configuration
Environment Variables
| Variable | Required | Description |
|---|---|---|
TWITTER_AUTH_TOKEN |
Yes | The auth_token cookie value |
TWITTER_CT0 |
Yes | The ct0 cookie value |
Create a .env file in the project root:
TWITTER_AUTH_TOKEN=your_auth_token_here
TWITTER_CT0=your_ct0_here
Claude Desktop
Add to your Claude Desktop config:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"twitter": {
"command": "node",
"args": ["/absolute/path/to/twitter-mcp/build/index.js"],
"env": {
"TWITTER_AUTH_TOKEN": "your_auth_token_here",
"TWITTER_CT0": "your_ct0_here"
}
}
}
}
Claude Code
claude mcp add twitter -- node /absolute/path/to/twitter-mcp/build/index.js
Tools
Read Operations
| Tool | Description |
|---|---|
get_home_timeline |
Fetch tweets from the authenticated user's home timeline |
get_user_profile |
Get a user profile by username |
get_user_tweets |
Get recent tweets from a specific user |
get_tweet |
Get a single tweet by ID |
search_tweets |
Search tweets with full operator support |
get_trends |
Get current trending topics |
Write Operations
| Tool | Description |
|---|---|
post_tweet |
Post a new tweet |
like_tweet |
Like a tweet |
unlike_tweet |
Remove a like |
retweet |
Retweet a tweet |
unretweet |
Remove a retweet |
reply_to_tweet |
Reply to a specific tweet |
Architecture
MCP Client (Claude) <--stdio--> twitter-mcp Server
|
+---------------+---------------+
| |
undici HTTP Puppeteer + Stealth
(Read ops) (Write ops)
| |
+---------------+---------------+
|
x.com GraphQL API
Read operations use direct HTTP for speed. Write operations use a headless browser with stealth to bypass automation detection.
Development
npm run dev # Watch mode
npm run build # Build once
npm start # Run the server
Project Structure
twitter-mcp/
src/
index.ts # MCP server setup and tool registration
twitter-client.ts # Twitter API client (HTTP + Puppeteer)
types.ts # TypeScript interfaces
build/ # Compiled output
package.json
tsconfig.json
Troubleshooting
| Issue | Solution |
|---|---|
| HTTP 401/403 | Cookies expired -- extract fresh ones from browser |
| HTTP 429 | Rate limited -- wait a few minutes |
| Error 226 | Stealth browser handles this; if persistent, post manually once then retry |
| Empty responses | Twitter may have rotated GraphQL query IDs |
Tech Stack
- Runtime: Node.js (ES2022)
- Language: TypeScript 5.x (strict mode)
- MCP SDK: @modelcontextprotocol/sdk
- HTTP Client: undici
- Browser: Puppeteer + puppeteer-extra-plugin-stealth
- Validation: Zod
License
ISC
Built by Aditya Gaurav
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。