GitHub Models Helper MCP Server

@michaelwybraniec

Repository

Basic information

About GitHub Models Helper MCP Server

No overview available yet

#mcp-server#github-models-helper#language-models

GitHub Models Helper MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-gh-models-helper": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "dist/index.js"
      ]
    }
  }
}

GitHub Models Helper MCP Server tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is GitHub Models Helper MCP Server?

This MCP server helps you interact with and compare different language models available via GitHub Models and AzureML, including OpenAI, Microsoft, Meta, Mistral, and more. It is designed for developers who need to explore, filter, and test models programmatically.

How to use GitHub Models Helper MCP Server?

Install dependencies (npm install), set up environment variables (copy .env.template to .env with your GitHub token), build the project (npm run build), and run in development mode using npx @modelcontextprotocol/inspector dist/index.js. Add the server to Claude Desktop by editing claude_desktop_config.json with the node command, path to dist/index.js, and the GITHUB_TOKEN environment variable.

Key features of GitHub Models Helper MCP Server

List available language models with metadata
Compare responses from different models for the same prompt
Filter and sort models by various criteria
Comprehensive error handling and fallbacks
Visualize model comparisons as tables or charts

Use cases of GitHub Models Helper MCP Server

Listing all available Phi-3 models
Comparing two or more models on a custom prompt
Generating side‑by‑side response visualizations for evaluation

Frequently asked questions

What models does it support?

It supports models from GitHub Models and AzureML, including OpenAI, Microsoft (e.g., Phi-3), Meta (Mistral), and others. Note that models like "Phi-4" or "Phi-3-mini-4k-instruct" may not be currently available.

What are the runtime requirements?

Node.js and npm are required. The server runs locally as a JavaScript process and uses the Model Context Protocol (MCP) to communicate with AI clients.

How does authentication work?

You must provide a GitHub Personal Access Token in the `GITHUB_TOKEN` environment variable. No other authentication is needed.

Where does model data come from?

All model metadata and responses are fetched live from GitHub Models and AzureML APIs. No local caching or storage of responses is described.

Can I use it with other MCP clients besides Claude Desktop?

The README explicitly shows integration with Claude Desktop, but as an MCP server it should be compatible with any MCP‑aware client.

Comments

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