MCPfinder — Find the Perfect MCP Server for Your AI Agent

Name: MCPfinder
Author: Coder AI

For Newcomers

What is MCP?

Model Context Protocol (MCP) is an open standard by Anthropic that lets AI models connect to external tools and data sources. Think of it as USB-C for AI — a universal interface.

MCP servers give your AI agent superpowers: access databases, call APIs, manage files, interact with services — all through a standardized protocol.

MCPfinder is an MCP server that discovers other MCP servers. It's like giving your AI agent its own search engine for tools.

🤖 Your AI Agent

↕

⚡ MCPfinder

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🔧 GitHub · Postgres · Slack · 100+ servers

How It Works

Three Steps to Smarter AI

MCPfinder connects to your AI agent as an MCP server. Your AI can then discover and use any MCP server it needs — automatically.

Install MCPfinder

One command. Zero config. Add MCPfinder as an MCP server to your AI client (Claude Desktop, Cursor, or any MCP-compatible client).

AI Discovers Tools

Your AI agent asks MCPfinder: "I need a tool for X." MCPfinder searches across multiple registries and returns the best match.

Capabilities Expand

Your AI gains new abilities on-demand. Need a database tool? A code formatter? A web scraper? MCPfinder finds it instantly.

Quick Start

Up and Running in 30 Seconds

Choose your preferred installation method. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.

npx (no install needed)

          # Run directly — no install needed

          $ npx @mcpfinder/server

          # Or add to your MCP config:

          {

            "mcpServers": {

              "mcpfinder": {

                "command": "npx",

                "args": ["@mcpfinder/server"]

              }

            }

          }

npm (global install)

          # Install globally

          $ npm install -g @mcpfinder/server

          # Then run it

          $ mcpfinder

          # Or add to a project

          $ npm install @mcpfinder/server

Features

Everything You Need to Discover MCP Servers

MCPfinder aggregates, searches, and recommends — so your AI always has the right tool for the job.

🔍

Multi-Registry Search

Aggregates the Official MCP Registry, Smithery, and community sources into one unified search. Never miss a server.

🧠

Smart Recommendations

Describe what you need in plain language. MCPfinder uses intelligent matching to find the best MCP server for your use case.

⚡

Zero-Friction Setup

One command, no configuration files, no API keys. Works out of the box with any MCP-compatible AI client.

🤖

AI-Native Interface

MCPfinder is itself an MCP server. Your AI agent discovers tools programmatically — no human browsing required.

📦

Always Up-to-Date

Continuously syncs with upstream registries. New MCP servers are discoverable as soon as they're published.

🔓

Free & Open Source

MIT licensed. Inspect the code, contribute, or fork it. Built by the community, for the community.

FAQ

Frequently Asked Questions

Everything you need to know about MCPfinder and MCP servers.

What is MCP (Model Context Protocol)?

MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models connect to external tools and data sources. Think of it as USB-C for AI — a universal plug that lets your AI agent use databases, APIs, file systems, and more through a standardized interface.

How do I find the best MCP server for my use case?

MCPfinder aggregates multiple MCP registries and uses intelligent search to match your needs. Simply describe what you need — like "I need a tool for PostgreSQL" or "GitHub integration" — and MCPfinder recommends the best MCP server for the job. Your AI agent can do this automatically.

Is MCPfinder free to use?

Yes! MCPfinder is completely free and open-source under the MIT license. Install it via npm with npx @mcpfinder/server or add it to your project with npm install @mcpfinder/server. No API keys or subscriptions required.

What MCP registries does MCPfinder search?

MCPfinder aggregates multiple registries including the Official MCP Registry, Smithery, and other community sources. We continuously add new registries to provide the most comprehensive MCP server discovery experience available.

How is MCPfinder different from browsing a registry directly?

MCPfinder is itself an MCP server — meaning your AI agent can use it directly to discover and recommend other MCP servers on-the-fly. No manual browsing required. It searches across multiple registries simultaneously and provides intelligent recommendations. It's like giving your AI its own app store.

Which AI clients work with MCPfinder?

MCPfinder works with any MCP-compatible client, including Claude Desktop, Cursor, Windsurf, Cline, and others. Any tool that supports the Model Context Protocol can connect to MCPfinder and use it to discover other MCP servers.

Can I contribute to MCPfinder?

Absolutely! MCPfinder is open-source and we welcome contributions. Visit our GitHub repository to report issues, submit pull requests, or suggest new features. The project is maintained by Coder AI.

Find the Perfect MCP Server for Your AI Agent