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X(Twitter) MCP Server

MCP Server

AI‑powered X/Twitter publishing from Claude chat

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Updated 17 days ago

About

A Model Context Protocol server that lets users create, manage, and publish X/Twitter posts directly through Claude chat. It handles authentication, drafting, threading, and deletion of tweets via the X API.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

X(Twitter) MCP Server in Action

The X (Twitter) MCP server bridges the gap between conversational AI and social media publishing, allowing Claude‑powered assistants to create, manage, and publish tweets directly from a chat interface. By exposing Twitter’s REST API as a set of MCP resources and tools, developers can treat tweeting as a first‑class capability in their AI workflows—removing the need for manual copy‑paste or separate browser interactions.

At its core, the server authenticates with Twitter using OAuth credentials supplied in the client configuration. Once authenticated, it offers a collection of resources: drafts, threads, and published tweets. Each resource can be queried, created, updated, or deleted via straightforward MCP calls that the assistant can invoke in natural language. For example, a user might say “Show me my draft tweets,” and the assistant will retrieve and display them without leaving the chat. This seamless interaction turns social media management into a conversational task, ideal for content creators who prefer voice or text commands over traditional dashboards.

Key capabilities include:

  • Draft creation and editing – Compose tweets or multi‑tweet threads, preview them, and store them as drafts for later review.
  • Thread handling – Build linked sequences of tweets, ensuring correct ordering and continuity in the conversation.
  • Publish control – Publish drafts or threads with a single command, optionally scheduling future posts if the underlying API supports it.
  • Deletion and moderation – Remove unwanted drafts or published content directly from the chat, keeping the workflow tidy.
  • Rich metadata exposure – Retrieve tweet statistics such as retweets, likes, and replies, enabling the assistant to provide performance insights.

Real‑world scenarios that benefit from this server include: social media managers automating routine posts, marketers drafting campaign threads on the fly, or developers building AI‑driven content generators that push directly to Twitter. By integrating with Claude’s prompt engineering and sampling features, the server allows dynamic content generation that can be instantly tested and published, accelerating iteration cycles.

The MCP’s declarative interface means developers can embed Twitter functionality in larger AI pipelines—combining data analysis, sentiment detection, and automated posting—all while maintaining consistent authentication and error handling. Unique advantages of the X MCP server are its tight coupling to Claude’s conversational flow, zero‑code interaction for end users, and the ability to treat social media as a programmable resource rather than a separate platform. This makes it an invaluable tool for any developer looking to enrich AI assistants with real‑world publishing capabilities.