Membit MCP Server for accessing real-time social data via Membit's API
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# 🐰 Membit MCP Server [](https://github.com/bandprotocol/membit-mcp) [](https://pypi.org/project/membit-mcp/) Membit MCP Server connects your AI systems to live social insights through Membit's API. By leveraging the Model Context Protocol (MCP), this server makes real-time social data—from trending discussion clusters to raw posts—readily available to your AI applications. Whether you're using Claude Desktop, Goose, Cursor, or any MCP-compatible client, this server enriches your model’s context with current social data. --- ## Contents - [Introduction](#introduction) - [Key Features](#key-features) - [Requirements](#requirements) - [Installation Guide](#installation-guide) - [PyPI Package](#pypi-package) - [Clone from Git](#clone-from-git) - [Client Configuration](#client-configuration) - [Using Cursor](#using-cursor) - [Using Goose](#using-goose) - [Using Claude Desktop](#using-claude-desktop) - [How It Works](#how-it-works) - [Example Interactions](#example-interactions) - [FAQ & Troubleshooting](#faq--troubleshooting) - [Credits](#credits) - [License](#license) --- ## Introduction Membit MCP Server is designed to empower AI agents with timely social context. It translates Membit's REST endpoints into MCP tools, allowing your AI to: - **🔍 Discover Trending Discussions:** Search for and retrieve clusters of social discussions. - **🕳️ Dive Deeper:** Fetch detailed posts and metadata for specific clusters. - **🧠 Extract Insights:** Look up raw posts related to any keyword. By integrating these capabilities, your AI can better understand and respond to rapidly evolving social narratives. --- ## Key Features - **⚡️ Real-Time Data:** Pull live data from Membit's continuously updated API. - **🔌 MCP Compatibility:** Seamlessly integrates with any client that supports the Model Context Protoc…
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