MCP-Twikit provides Twitter search and interaction capabilities for AI assistants through the FastMCP framework. Built by Adhika Setya Pramudita, it leverages the Twikit library to enable both read operations (searching tweets, viewing timelines, retrieving user tweets) and write operations (posting tweets, sending direct messages) with built-in rate limiting. The implementation authenticates using Twitter credentials stored as environment variables, manages cookies for persistent sessions, and formats tweet data in markdown for easy readability, making it ideal for workflows requiring Twitter monitoring, social media analysis, or automated Twitter interactions.
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Compares the sentiment of the latest tweets directed at specified Twitter accounts. Parameters: count (integer - number of tweets to analyze), accounts (list of strings - Twitter handles to analyze).
Retrieves the latest tweets from the user's home Twitter timeline. No parameters required.
