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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Compare the sentiments of the latest tweets directed at specified Twitter accounts. Parameters: count (number), accounts (array of strings).
Retrieve the latest tweets from the user's Twitter timeline.
Search for tweets based on a query. Parameters: query (string), count (number), sort_by (string).
