LunarCrush

This MCP server provides AI assistants with access to LunarCrush cryptocurrency market intelligence and social sentiment data through a proxy architecture that bridges local stdio communication with LunarCrush's remote HTTP API. Built by LunarCrush using JavaScript and the Model Context Protocol SDK, the implementation acts as a local proxy server that forwards MCP requests to LunarCrush's hosted MCP endpoint at lunarcrush.ai/mcp, supporting both streamable HTTP and SSE transport methods while handling API key authentication. The proxy design allows users to integrate LunarCrush's crypto analytics capabilities into their MCP workflows through either direct remote connection or local stdio interface, serving developers building crypto trading applications, analysts requiring programmatic access to social sentiment data, and AI assistants needing real-time cryptocurrency market intelligence without managing complex API integrations directly.