MCP Servers
67,685 MCP servers for AI apps. Filter by category, badge and popularity.
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A Model Context Protocol (MCP) server that provides seamless integration between Claude, Cursor, Kiro (and other MCP-supported platforms) and Simplified's API. This server enables LLMs to interact with Simplified's services through standardized MCP tools, allowing for social media
Live codebase intelligence for AI agents. Analyzes import graphs (PageRank), git history (reverted commits, co-change coupling), and conventions to generate context files (CLAUDE.md, .cursorrules, copilot-instructions.md). Only surfaces non-discoverable information — things agents
Example project demonstrating how to expose FastAPI endpoints as Model Context Protocol (MCP) tools using fastapi-mcp. Includes a basic LangChain agent (langchain_client.py) that connects to the local FastAPI server via HTTP/SSE using langchain-mcp-adapters to discover and
Unofficial local-first MCP server for Strava. Activity history, streams (HR/power/cadence/GPS), athlete zones, routes, weekly training summaries. Privacy modes (summary/structured/raw) with GPS protection by default, SQLite cache, doctor CLI for setup. Works with Claude Desktop.
AI visibility monitoring with 25 MCP tools + 5 expert workflows. Check how 8 LLM platforms (ChatGPT, Gemini, Perplexity, Claude, Grok, DeepSeek, Meta AI, Copilot) see your brand. Free tier: 20 tools without API keys. Pro: history, trends, alerts. Hosted MCP at geo.studiomeyer.io
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
