X/Twitter MCP Server

X/Twitter MCP Server – Unofficial API Access via Browser Automation

The X/Twitter MCP server solves a common pain point for developers building AI assistants: reliable, programmatic access to X/Twitter’s features without the limitations of official APIs. By leveraging Playwright for browser automation, it bypasses rate limits and authentication hurdles that typically accompany public APIs. This allows AI agents to perform a full range of social‑media interactions—posting, searching, scraping, and engaging with content—as if they were a human user, but with the speed and precision required for automated workflows.

At its core, the server exposes a rich toolbox of over 20 tools that map directly to X/Twitter actions. Developers can instruct Claude or other MCP‑compatible assistants to post a tweet, create multi‑tweet threads with media, like, retweet, or bookmark posts, and even edit comments. The scraping capabilities are equally comprehensive: timelines can be harvested from “For You” and “Following” feeds, user profiles return detailed metadata and recent posts, and advanced search tools filter by viral content, specific users, or date ranges. Trending topics and hashtag data are also accessible, enabling real‑time trend analysis.

The server’s dual transport support—stdio and HTTP/SSE—ensures flexibility in deployment. Whether integrated locally into a development environment or exposed via a Docker container for production, the MCP interface remains consistent. All responses are JSON‑formatted and include extensive metadata, making downstream processing straightforward for AI agents that need to parse or store results. Robust error handling provides descriptive messages, reducing debugging time when authentication fails or network issues arise.

Real‑world use cases abound: marketing teams can automate campaign tweets and monitor engagement; data scientists can scrape large volumes of user interactions for sentiment analysis; content creators can schedule threaded stories with media attachments; and compliance teams can audit public posts for policy violations. By embedding this server into an AI workflow, developers gain a single point of interaction with X/Twitter that scales across projects without the need to manage API keys or deal with rate limits.

Unique advantages include the use of browser automation, which mirrors actual user behavior and thus bypasses many restrictions imposed on API access. The tool‑based interface simplifies integration; an AI assistant can call a named function (e.g., ) with natural language prompts, and the server handles all underlying navigation, form submission, and data extraction. This seamless blend of conversational AI with robust social‑media automation empowers developers to build sophisticated, end‑to‑end solutions that harness the full power of X/Twitter.