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

DataBridge MCP Server

DataBridge MCP servers enable AI models to interact with local databases for contextual information, supporting persistent storage and unified access to ML services.

Sequential Thinking MCP Server: AI Step-by-Step Problem Solving

Sequential Thinking MCP servers enable AI models to perform structured, step-by-step problem-solving with support for thought revision, branching reasoning, and dynamic context management.

Filesystem MCP Server

Filesystem MCP servers enable AI models to interact with local file systems, providing capabilities for file operations, directory management, and secure file access within specified boundaries.

X (Twitter) MCP Server