Twitter MCP Server

Twitter MCP Server

Enables interaction with Twitter/X data to retrieve user profiles, search tweets, and track engagement metrics. It provides advanced capabilities for monitoring follower events, KOL activity, and accessing deleted tweets.

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README

<p align="center"> <b>Twitter MCP Server</b><br> Twitter/X Data · User Profiles · Tweet Search · Follower Events · KOL Tracking </p>

<p align="center"> <a href="./docs/README_ZH.md">中文</a> | <a href="./docs/README_JA.md">日本語</a> | <a href="./docs/README_KO.md">한국어</a> </p>


Quick Install

First, go to https://6551.io/mcp to get your API Token.

Claude Code

claude mcp add twitter \
  -e TWITTER_TOKEN=<your-token> \
  -- uv --directory /path/to/twitter-mcp run twitter-mcp

Replace /path/to/twitter-mcp with your local project path, and <your-token> with your Token.

OpenClaw

export TWITTER_TOKEN="<your-token>"
cp -r openclaw-skill/opentwitter ~/.openclaw/skills/

Let AI Review & Install For You

Not sure if this MCP is safe? Paste the prompt below to your AI assistant — it will review the source code first, then install if safe:

Copy this prompt and send it to your AI assistant (replace <project-path> and <your-token> with actual values):

Please review and install the twitter-mcp MCP server for me. The project is at <project-path>.

Steps:
1. Review these files for security:
   - src/twitter_mcp/api_client.py — Confirm it only connects to ai.6551.io, no data sent elsewhere
   - src/twitter_mcp/config.py — Confirm token is only read from local config.json or env vars, no hardcoded secrets or leaks
   - src/twitter_mcp/tools.py — Confirm all tools only perform API queries, no file writes, command execution, or dangerous operations
   - pyproject.toml — Confirm dependencies are only mcp, httpx, no suspicious packages
2. Tell me your conclusion: safe / risky / problematic, with specific reasons
3. If safe, run the install (get Token from https://6551.io/mcp):
   claude mcp add twitter -e TWITTER_TOKEN=<your-token> -- uv --directory <project-path> run twitter-mcp

What Can It Do?

Once connected, just ask your AI assistant:

You say It does
"Show @elonmusk's Twitter profile" Get user profile info
"What did @VitalikButerin tweet recently" Get user's recent tweets
"Search Bitcoin related tweets" Keyword search
"Find tweets with #crypto hashtag" Hashtag search
"Popular tweets about ETH with 1000+ likes" Search with engagement filters
"Who followed @elonmusk recently" Get new follower events
"Who unfollowed @elonmusk" Get unfollower events
"What tweets did @elonmusk delete" Get deleted tweets
"Which KOLs follow @elonmusk" Get KOL followers

Available Tools

Tool Description
get_twitter_user Get user profile by username
get_twitter_user_by_id Get user profile by numeric ID
get_twitter_user_tweets Get recent tweets from a user
search_twitter Search tweets with basic filters
search_twitter_advanced Advanced search with multiple filters
get_twitter_follower_events Get follower/unfollower events
get_twitter_deleted_tweets Get deleted tweets from a user
get_twitter_kol_followers Get KOL (Key Opinion Leader) followers

Configuration

Get API Token

Go to https://6551.io/mcp to get your API Token.

Set the environment variable:

# macOS / Linux
export TWITTER_TOKEN="<your-token>"

# Windows PowerShell
$env:TWITTER_TOKEN = "<your-token>"
Variable Required Description
TWITTER_TOKEN Yes 6551 API Bearer Token (get from https://6551.io/mcp)
TWITTER_API_BASE No Override REST API URL
TWITTER_MAX_ROWS No Max results per query (default: 100)

Also supports config.json in the project root (env vars take precedence):

{
  "api_base_url": "https://ai.6551.io",
  "api_token": "<your-token>",
  "max_rows": 100
}

Data Structures

Twitter User

{
  "userId": "44196397",
  "screenName": "elonmusk",
  "name": "Elon Musk",
  "description": "...",
  "followersCount": 170000000,
  "friendsCount": 500,
  "statusesCount": 30000,
  "verified": true
}

Tweet

{
  "id": "1234567890",
  "text": "Tweet content...",
  "createdAt": "2024-02-20T12:00:00Z",
  "retweetCount": 1000,
  "favoriteCount": 5000,
  "replyCount": 200,
  "userScreenName": "elonmusk",
  "hashtags": ["crypto", "bitcoin"],
  "urls": [{"url": "https://..."}]
}

<details> <summary><b>Other Clients — Manual Install</b> (click to expand)</summary>

In all configs below, replace /path/to/twitter-mcp with your actual local project path, and <your-token> with your Token from https://6551.io/mcp.

Claude Desktop

Edit config (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "twitter": {
      "command": "uv",
      "args": ["--directory", "/path/to/twitter-mcp", "run", "twitter-mcp"],
      "env": {
        "TWITTER_TOKEN": "<your-token>"
      }
    }
  }
}

Cursor

~/.cursor/mcp.json or Settings > MCP Servers:

{
  "mcpServers": {
    "twitter": {
      "command": "uv",
      "args": ["--directory", "/path/to/twitter-mcp", "run", "twitter-mcp"],
      "env": {
        "TWITTER_TOKEN": "<your-token>"
      }
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "twitter": {
      "command": "uv",
      "args": ["--directory", "/path/to/twitter-mcp", "run", "twitter-mcp"],
      "env": {
        "TWITTER_TOKEN": "<your-token>"
      }
    }
  }
}

Cline

VS Code sidebar > Cline > MCP Servers > Configure, edit cline_mcp_settings.json:

{
  "mcpServers": {
    "twitter": {
      "command": "uv",
      "args": ["--directory", "/path/to/twitter-mcp", "run", "twitter-mcp"],
      "env": {
        "TWITTER_TOKEN": "<your-token>"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Continue.dev

~/.continue/config.yaml:

mcpServers:
  - name: twitter
    command: uv
    args:
      - --directory
      - /path/to/twitter-mcp
      - run
      - twitter-mcp
    env:
      TWITTER_TOKEN: <your-token>

Cherry Studio

Settings > MCP Servers > Add > Type stdio: Command uv, Args --directory /path/to/twitter-mcp run twitter-mcp, Env TWITTER_TOKEN.

Zed Editor

~/.config/zed/settings.json:

{
  "context_servers": {
    "twitter": {
      "command": {
        "path": "uv",
        "args": ["--directory", "/path/to/twitter-mcp", "run", "twitter-mcp"],
        "env": {
          "TWITTER_TOKEN": "<your-token>"
        }
      }
    }
  }
}

Any stdio MCP client

TWITTER_TOKEN=<your-token> \
  uv --directory /path/to/twitter-mcp run twitter-mcp

</details>


Compatibility

Client Install Method Status
Claude Code claude mcp add One-liner
OpenClaw Copy skill directory One-liner
Claude Desktop JSON config Supported
Cursor JSON config Supported
Windsurf JSON config Supported
Cline JSON config Supported
Continue.dev YAML / JSON Supported
Cherry Studio GUI Supported
Zed JSON config Supported

Related Projects


Development

cd /path/to/twitter-mcp
uv sync
uv run twitter-mcp
# MCP Inspector
npx @modelcontextprotocol/inspector uv --directory /path/to/twitter-mcp run twitter-mcp

Project Structure

├── README.md
├── docs/
│   ├── README_JA.md           # 日本語
│   └── README_KO.md           # 한국어
├── openclaw-skill/opentwitter/    # OpenClaw Skill
├── pyproject.toml
├── config.json
└── src/twitter_mcp/
    ├── server.py              # Entry point
    ├── app.py                 # FastMCP instance
    ├── config.py              # Config loader
    ├── api_client.py          # HTTP client
    └── tools.py               # 8 tools

License

MIT

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