Overview

The X (Twitter) MCP Server bridges AI models and the X platform by letting language models (LLMs) perform comprehensive X operations directly. It's part of the Model Context Protocol (MCP) system, providing a safe and standard way to connect AI with X platform functionalities.

Created by:

Developed by Dishant27

Key Features

📝

Tweet Management

Post, search, and manage tweets with customizable result filtering

👤

Account Operations

View profiles, update details, and manage follower relationships

📋

List Organization

Create and manage public/private lists for content curation

🔒

Secure Authentication

Uses official X API credentials to avoid account suspension risks

Available Tools

Quick Reference

Tool	Purpose	Category
`post_tweet`	Post new content to X	Write
`search_tweets`	Search for content on X	Read
`get_profile`	Get user profile information	Read
`update_profile`	Update authenticated user's profile	Write
`follow_user`	Follow a user on X	Write
`unfollow_user`	Unfollow a user on X	Write
`list_followers`	List user followers	Read
`list_following`	List accounts a user is following	Read
`create_list`	Create a new X list	Write
`get_list_info`	Get details about a specific list	Read
`get_user_lists`	Get all lists owned by authenticated user	Read

Detailed Usage

post_tweet▶

Post new content (up to 280 characters) to the authenticated X account.

use_mcp_tool({
  server_name: "x-twitter",
  tool_name: "post_tweet",
  arguments: {
    text: "Hello from AI-powered MCP server!"
  }
});

search_tweets▶

Search for X content using a query with customizable result count.

use_mcp_tool({
  server_name: "x-twitter",
  tool_name: "search_tweets",
  arguments: {
    query: "AI MCP server",
    count: 10
  }
});

get_profile▶

Get profile information for a specific user or the authenticated account.

use_mcp_tool({
  server_name: "x-twitter",
  tool_name: "get_profile",
  arguments: {
    screen_name: "Dishant27"
  }
});

create_list▶

Create a new public or private list for content curation.

use_mcp_tool({
  server_name: "x-twitter",
  tool_name: "create_list",
  arguments: {
    name: "AI Tools",
    description: "Curated list of AI tool developers",
    is_private: false
  }
});

Installation

{
  "mcpServers": {
    "x-twitter": {
      "command": "npm",
      "args": [
        "start"
      ],
      "env": {
        "TWITTER_API_KEY": "your_api_key",
        "TWITTER_API_SECRET": "your_api_secret",
        "TWITTER_ACCESS_TOKEN": "your_access_token",
        "TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret"
      }
    }
  }
}

Sources

Terminal MCP Server

Terminal MCP servers enable AI models to interact with command-line interfaces and shells, providing capabilities for executing commands, managing processes, file operations, and handling terminal I/O in a secure environment.

Redis MCP Server

Redis MCP servers enable AI models to interact with Redis databases, providing capabilities for key-value operations, caching, pub/sub messaging, and high-performance data structures.

SQLite MCP Server

SQLite MCP servers enable AI models to interact with SQLite databases, providing capabilities for structured data operations, SQL queries, and local data management.

X (Twitter) MCP Server