Enables AI assistants to interact with Twitter/X using session cookies. Supports posting, searching, managing tweets, viewing trends, and user profiles.
An MCP server for reading Twitter/X engagement data and metrics, enabling AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.
Enables AI agents to work a self-hosted X (Twitter) networking pipeline over streamable HTTP, including searching and inspecting people, listing follow/unfollow events, moving contacts between pipeline stages, tagging, adding notes, fetching tweets, running LLM analyses, and triggering or polling sync jobs. Long-running paid operations return a job handle that can be polled for results.
A Model Context Protocol server that enables AI models and applications to interact directly with Twitter/X, providing capabilities to create posts, reply to tweets, retrieve user data, and manage account actions.
Twitter/X MCP server for the API v2, enabling users to manage profiles, posts, likes, retweets, and follows through natural language using a stateless Streamable HTTP transport with OAuth user access token authentication.
A lightweight Twitter MCP server for Claude Code with 17 tools for reading and writing tweets, including search, user profiles, and media uploads, using a hybrid API approach.
Enables AI agents to scrape Twitter/X profiles, tweets, and search results without an API key, returning structured JSON with bios, stats, and engagement metrics via x402 micropayments.
Provides tools for accurate Twitter/X post character counting, validation, and optimization using official counting methods. It enables users to extract entities like URLs and hashtags to ensure content fits within platform constraints.
Enables interaction with Twitter/X data to retrieve user profiles, search tweets, and track engagement metrics. It provides advanced capabilities for monitoring follower events, KOL activity, and accessing deleted tweets.
Enables interaction with Twitter through a Model Context Protocol, allowing large language models to post tweets, search for tweets, and reply to tweets.
Provides AI agents with comprehensive Twitter functionality through the Model Context Protocol standard, enabling reading tweets, posting content, managing interactions, and accessing timeline data with robust error handling.
Live X/Twitter search and AI trend digests without an API key, charging per call in USDC via x402. Enables real-time tweet search and AI summaries inside MCP clients.