Twitter MCP Server

@TaazKareem

Repository

Basic information

About Twitter MCP Server

A repository for the Twitter MCP server

#twitter #mcp #server #ai-integration

Twitter MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Twitter MCP Server tools

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Overview

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

Frequently asked questions

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.

What media formats are supported?

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

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.

Is there a rate limit?

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

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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