MCP Compass
This server is a discovery and recommendation tool for finding external Model Context Protocol (MCP) servers based on natural language queries.
Find MCP Servers: Searches and recommends existing MCP servers from the internet based on specific needs.
Detailed Results: Returns information including server IDs, descriptions, GitHub URLs, and similarity scores.
Specific Queries: Works best with specific and actionable requests to ensure accurate recommendations.
Real-time Information: Provides up-to-date recommendations from currently available MCP servers.
The README includes a demo image showing Airtable Server Search as an example of MCP Compass capabilities, suggesting it can help discover and connect to Airtable MCP services.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Compass find MCP servers for data visualization"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Compass 🧭
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
🤝 Easy Integration: Simple to integrate with any MCP-compatible AI assistant
Quick Start 🚀
Usage
Clone the repository
or
Use
npx
Installation
For Claude Desktop, edit your claude_desktop_config.json file:
MacOS/Linux
code ~/Library/Application\ Support/Claude/claude_desktop_config.jsonWindows
code $env:AppData\Claude\claude_desktop_config.jsonAs 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 toolrecommend-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
Scored across 1 tool
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.
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.
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.
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
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The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
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