CreatedTaazKareem
Integrates Twitter functionality into AI agents through the Model Context Protocol (MCP).
About
This server provides access to Twitter's features through MCP tools, enabling seamless integration with AI assistants and other MCP-compatible clients. It leverages the `agent-twitter-client` library, providing a comprehensive set of Twitter functionality through a clean and consistent interface. It offers robust error handling, rate limiting, and consistent response formatting for reliable performance.
Key Features
- Enables user interactions such as liking, retweeting, and posting tweets with text and media.
- 1 GitHub stars
- Supports basic reading, including fetching tweets, user profiles, and searching tweets.
- Handles media uploads (images, videos) and supports alt text.
- Provides access to advanced features like user relationships, trending topics, and different timeline types.
- Allows for the creation of Twitter threads.
Use Cases
- Enabling AI agents to monitor and respond to trending topics on Twitter.
- Integrating Twitter data into AI-powered customer service bots.
- Automating social media management tasks for AI assistants.