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.
Aún no hay reseñas. ¡Sé el primero en reseñar!
Inicia sesión para unirte a la conversación
Highlight AICompare the sentiments of the latest tweets directed at specified Twitter accounts. Parameters: latest (number of tweets), accounts (list of Twitter usernames)
Retrieve the latest tweets from your Twitter timeline. No parameters required.
Search for tweets based on a query. Parameters: query (string), count (number of tweets to retrieve), sort_by (criteria to sort tweets)
