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by taazkareem • Media & Multimedia
An MCP-compatible server that exposes Twitter functionality to AI agents for reading, posting, and interacting with tweets and user data.
Read and search recent tweets, user timelines, and trending topics with media metadata included.
Post tweets, create threads, upload media, and manage interactions like likes, retweets, and follows.
Programmatic access to user profiles, follower/following relationships, lists, and different timeline types with rate limiting and error handling.
This server provides a Model Context Protocol (MCP) interface to Twitter functionality, enabling AI assistants and MCP clients to fetch tweets, profiles, timelines, trends, and list data, as well as perform interactions like likes, retweets, follows, and posting tweets with media. It includes media handling (images, video, alt text), thread creation, rate limiting protections, input validation, and consistent JSON-formatted responses for easy consumption by agents. The implementation is built on top of an agent-twitter-client library and offers debugging tools and development workflows for integration and local development.
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