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MCP Compass 🧭

Model Context Protocol

MCP Discovery & Recommendation

Experience MCP Compass 🌐

You can now experience MCP discovery directly on our website!
👉 Explore MCP Compass 👈

Dive in to discover the power of MCP services in action with real-time recommendations and insights.


Related MCP server: MCPfinder Server

What is this? 🤔

MCP Compass is a discovery & recommendation service that helps you explore Model Context Protocol servers. It acts as a smart guide that helps AI assistants find and understand available MCP services out there based on natural language queries, making it easier to discover and utilize the right tools for specific tasks.

Quick Example

Features 🌟

  • 🔍 Smart Search: Find MCP services using natural language queries

  • 📚 Rich Metadata: Get detailed information about each service

  • 🔄 Real-time Updates: Always up-to-date with the latest MCP services MCP Servers

  • 🤝 Easy Integration: Simple to integrate with any MCP-compatible AI assistant

Quick Start 🚀

Usage

  1. Clone the repository

or

  1. Use npx

Installation

For Claude Desktop, edit your claude_desktop_config.json file:

MacOS/Linux

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

Windows

code $env:AppData\Claude\claude_desktop_config.json
  1. As an MCP Service:

    Add to your AI assistant's MCP configuration to enable service discovery capabilities.

    {
    "mcpServers": {
       "mcp-compass": {
          "command": "npx",
          "args": [
             "-y",
             "@liuyoshio/mcp-compass"
          ]
       }
    }
    }

    or

    {
    "mcpServers": {
       "mcp-compass": {
          "command": "node",
          "args": [
             "/path/to/repo/build/index.js"
          ]
       }
    }
    }

License 📝

MIT License - See LICENSE file for details.

Support 💬

Available Tools

1 tool
recommend-mcp-serversB

Use this tool when there is a need to findn external MCP tools. It explores and recommends existing MCP servers from the internet, based on the description of the MCP Server needed. It returns a list of MCP servers with their IDs, descriptions, GitHub URLs, and similarity scores.

Inputs: query (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as recommending MCP servers based on descriptions, and no other tools exist to cause confusion.

    Naming Consistency5/5

    A single tool inherently exhibits perfect naming consistency, as there are no other tools to compare against. The tool name 'recommend-mcp-servers' follows a clear verb-noun pattern and uses hyphens consistently.

    Tool Count2/5

    One tool is too few for a server named 'MCP Compass', which suggests a broader scope of functionality for exploring or navigating MCP servers. A single recommendation tool feels thin and incomplete for this apparent purpose, lacking supporting tools like search, filter, or get details.

    Completeness2/5

    The tool surface is severely incomplete for the inferred domain of MCP server exploration. While the tool can recommend servers, there are significant gaps: no ability to search, filter, get detailed information, list categories, or manage preferences. This will likely cause agent failures when trying to perform comprehensive MCP server discovery tasks.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Related MCP Connectors

    Related MCP Servers

    • A
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      A discovery and recommendation service that helps AI assistants find Model Context Protocol servers based on natural language queries.
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    • F
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      An intelligent server that helps discover and research MCP servers using the Exa AI search engine, enabling users to find appropriate Model Context Protocol servers for specific requirements.
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    • A
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      A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.
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