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Twitter MCP Server

@TaazKareem

基本信息

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其他

传输方式

stdio

作者

TaazKareem

关于 Twitter MCP Server

A repository for the Twitter MCP server

Twitter MCP Server 配置

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代码仓库

Twitter MCP Server 工具

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概览

What is Twitter MCP Server?

A Twitter integration for AI agents that uses the Model Context Protocol (MCP) standard. Built on the agent-twitter-client library, it provides a consistent interface for reading and interacting with Twitter through MCP-compatible clients like AI assistants.

How to use Twitter MCP Server?

Install dependencies with npm install, build with npm run build, then configure required environment variables (TWITTER_USERNAME, TWITTER_PASSWORD, TWITTER_EMAIL) and optionally Twitter API keys. Add the server to your MCP client configuration (e.g., Claude Desktop) by specifying the path to build/index.js.

Key features of Twitter MCP Server

  • Reading tweets, profiles, and search results
  • Liking, retweeting, and posting tweets with media
  • Creating threads and managing quote tweets
  • Fetching trends, timelines, and list tweets
  • Following/unfollowing users and viewing relationships
  • Media upload support for images (JPEG, PNG, GIF) and video (MP4)
  • Rate limiting (max 50 tweets per request on search)

Use cases of Twitter MCP Server

  • Fetch recent tweets from a user for analysis
  • Search tweets by hashtag or keyword
  • Post tweets with text and media attachments
  • Create threaded conversations for content campaigns
  • Monitor trending topics and timeline activity

常见问题

1

What credentials are required?

You need a Twitter username, password, and email. Twitter API keys (API key, API secret key, access token, access token secret) are optional.

2

What media formats are supported?

Images: JPEG, PNG, GIF. Video: MP4. Alt text is also supported.

3

How do I install and configure the server?

Run `npm install` then `npm run build`. Set the required environment variables and add the server configuration to your MCP client’s JSON config file.

4

Is there a rate limit?

The search tool enforces a maximum of 50 tweets per request.

5

How can I debug the server?

Use `npm run inspector` to launch the MCP Inspector, which provides a URL for debugging in your browser. `npm run watch` enables auto-rebuild during development.

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