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The largest directory of Model Context Protocol servers. Browse 8,000+ MCP servers for Claude, AI agents, and developer tools.

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What is MCP (Model Context Protocol)?

MCP is an open standard created by Anthropic that lets AI assistants connect to external tools and data sources through a unified protocol. Think of it as USB-C for AI — one standard plug that works everywhere.

Instead of building custom integrations for every AI tool, developers create MCP servers that any compatible AI client can use. This means a single Slack MCP server works with Claude, Cursor, VS Code, and any other MCP-compatible tool.

MCP servers can provide tools (actions the AI can take), resources (data the AI can read), and prompts (templates for common tasks). The ecosystem is growing fast — with thousands of servers already available.

Learn more at modelcontextprotocol.io →

🧠 AI Client
Claude, Cursor, VS Code
⟷
⚡ MCP Server
Standardized Interface
⟷
🌐 Service
GitHub, Slack, DB, etc.

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Frequently Asked Questions

Everything you need to know about MCP servers

An MCP (Model Context Protocol) server is a standardized interface that lets AI assistants like Claude connect to external tools, APIs, and data sources. MCP servers act as bridges between AI models and the real world — databases, SaaS apps, file systems, and more. They provide tools (actions), resources (data), and prompts (templates) through a single unified protocol.
Use FindMCP to search by category (Database, Communication, DevOps, etc.), keyword, or specific service name. Each server listing includes compatibility info, installation instructions, and community ratings. You can also browse our curated categories to discover servers you didn't know existed. For CLI-based discovery, check out mcpfinder.dev.
MCP is supported by a growing ecosystem: Claude (Anthropic's AI assistant), Cursor (AI code editor), Windsurf, VS Code with GitHub Copilot, Cline, and many more AI agents and IDEs. The protocol is open-source, and adoption is accelerating — most major AI coding tools now support MCP.
The vast majority of MCP servers are open-source and completely free. Some connect to paid APIs (like Slack, GitHub Enterprise, or cloud databases), where the underlying service may have its own costs — but the MCP server itself is typically free and community-maintained. FindMCP is also free to use.
Most MCP servers install via npm or pip. For example: npx @modelcontextprotocol/server-github. Each server page on FindMCP includes specific installation steps and configuration for your preferred AI client (Claude Desktop, Cursor, VS Code, etc.). You can also use mcpfinder for one-command installation.
The most popular MCP servers in 2026 include the official Anthropic servers (GitHub, Slack, Filesystem, Puppeteer, Brave Search), community favorites like PostgreSQL, SQLite, and Docker servers, plus emerging tools for Notion, Linear, Jira, and more. Check our trending page for the latest rankings updated daily.
Absolutely! MCP servers can be built in TypeScript/JavaScript, Python, Go, Rust, and other languages. The official MCP documentation provides SDKs and guides to get started. Once built, you can list your server on FindMCP for free to reach thousands of developers.
FindMCP.dev is a web-based directory — browse, search, and compare MCP servers in your browser with detailed pages, ratings, and categories. mcpfinder.dev is an AI-native CLI tool for discovering and installing MCP servers directly from your terminal. They complement each other: find servers on the web, install them from the command line.