Enables Twitter API access without requiring local credential or token setup.
This project implements a Model Context Protocol (MCP) Server that interacts with the Twitter API to fetch recent tweets from a given username. The server allows AI assistants like Claude to request and retrieve tweets using MCP requests.
Extracts creation, modification, and publication timestamps from webpages.
Connects Claude Desktop to Twitter, enabling tweet posting, content analysis, and structured tweet creation.
Facilitates interactions with Twitter through a Model Context Protocol (MCP) server.
Automates the download and AI-powered transcription of Twitter Spaces.
Enable AI assistants like Claude to access TwitterAPI.io documentation instantly and offline.
Exposes Twitter API functionalities like tweet posting, timeline retrieval, and search as JSON-RPC tools for MCP-compatible clients.
Analyzes real-time Twitter trends to identify potential business opportunities using Claude's AI capabilities.
Integrates Twitter API functionalities via a Model Context Protocol (MCP) server.
Automates Twitter interactions like posting tweets and searching for content using browser automation.
Automates the scheduling and posting of tweets from Google Sheets, integrated with the Machine Communication Protocol (MCP) server.
Empowers AI assistants with comprehensive read and write access to Twitter/X, leveraging cookie-based authentication without requiring traditional API keys.
Analyzes Twitter data to provide real-time financial market sentiment and trend analysis.
End of results