Gopher AI (Twitter Search)
Integrates with Twitter through the Gopher AI API to search and retrieve relevant posts with metadata and relevance s...
What it does
Integrates with Twitter through the Gopher AI API to search and retrieve relevant posts with metadata and relevance scores using natural language queries for social media analysis, trend monitoring, and research applications.
Gopher MCP Server provides access to Twitter search capabilities through the Gopher AI API, enabling natural language queries to retrieve relevant Twitter posts with metadata and relevance scores. Built by gopher-lab using Go and the MCP SDK, it implements an asynchronous polling mechanism that initiates searches via the Gopher AI platform and retrieves results once processing completes, with configurable result limits and error handling. The server is valuable for social media analysis, trend monitoring, sentiment analysis, and research applications where access to Twitter content based on specific queries or topics is needed.
Capabilities
Server
Quality
deterministic score 0.55 from registry signals: · indexed on pulsemcp · has source repo · 2 github stars · registry-generated description present