X Twitter MCP Server

The X (Twitter) MCP server bridges the gap between conversational AI assistants and the rich ecosystem of Twitter. By exposing a comprehensive set of Twitter API v2 endpoints through the Model Context Protocol, it lets developers and users issue natural‑language commands—such as “post a tweet about climate change” or “list my followers”—and receive structured responses directly within an AI‑powered interface. This eliminates the need to write custom integration code or manage OAuth flows manually, streamlining workflows for data analysts, social media managers, and developers who want to embed real‑time Twitter interactions into chatbots or productivity tools.

At its core, the server implements all major user‑management and tweet‑management capabilities: fetching profiles, timelines, bookmarks, and trends; creating, editing, deleting, favoriting, and retweeting content; searching for public tweets; and handling follow/unfollow actions. It also includes robust rate‑limit handling, ensuring that requests stay within Twitter’s usage policies without requiring developers to monitor or throttle calls themselves. The server authenticates via standard API keys and bearer tokens, avoiding the risky username/password approach that can lead to account suspensions. This secure, token‑based flow is critical for production deployments where stability and compliance with Twitter’s developer agreement are paramount.

Developers benefit from the server’s ready‑to‑use, Docker‑friendly deployment and its seamless integration with Claude Desktop through Smithery. Once the MCP server is running, any AI assistant that supports Model Context Protocol can invoke its tools by sending a JSON‑RPC request. The server translates these requests into authenticated Twitter API calls, returning results in a predictable format that the assistant can interpret and present. This tight coupling means conversational agents can guide users through complex social‑media tasks—such as scheduling a tweet, analyzing follower growth, or curating trending topics—without leaving the chat context.

Real‑world scenarios include automating social media campaigns, monitoring brand sentiment in real time, or building data pipelines that ingest tweets for analytics. For instance, a marketing team could ask their AI assistant to “post the latest company update on X” and receive confirmation along with a preview of the tweet. A data scientist could request “search tweets containing #AI in the last 24 hours” and receive a structured dataset for further analysis. Because the server encapsulates all authentication, rate limiting, and endpoint logic, teams can focus on higher‑level business goals rather than the intricacies of Twitter’s API.

The X (Twitter) MCP server stands out by providing a full, authenticated implementation of Twitter’s v2 API within the MCP framework. Its emphasis on security, rate‑limit compliance, and ease of deployment makes it a valuable addition to any AI workflow that requires direct interaction with Twitter. Whether you’re building a chatbot, automating social media operations, or integrating real‑time sentiment data into an application, this server offers a reliable, developer-friendly bridge between conversational AI and the world of X.