MCP Recommender Server

A MCP (Model Context Protocol) server that provides intelligent recommendations for other MCP servers based on your development needs.

python

5

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "bxzymy-mcp-recommend": {
      "command": "uv",
      "args": [
        "run",
        "-m",
        "mcp_recommender",
        "--server"
      ]
    }
  }
}

MCP Recommender helps you discover the most relevant MCP servers for your development needs by using smart search, category filtering, and intelligent matching. It connects with your MCP client workflow to surface containerized or local MCP options that fit your project, making it faster to assemble a capable MCP ecosystem.

How to use

Use your MCP client to access intelligent recommendations from the recommender. Start by testing the setup to see sample results, then switch to server mode to run the recommender locally and integrate it into your MCP workflow.

In MCP client workflows, you can perform a query describing the functionality you need, optionally filter by a category or programming language, and request a limited number of results. The tool set includes functions to list all categories and to map functional keywords for improved search relevance.

Available tools

recommend_mcp

Returns a curated list of MCP server recommendations based on your query, with optional limit, category, and language filters.

list_categories

Lists all available MCP categories with counts to help you refine your search scope.

get_functional_keywords

Displays functional keyword mappings to improve search results and matching quality.