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GitHub Models Helper MCP Server

@michaelwybraniec

リポジトリ

基本情報

カテゴリ

バージョン管理

トランスポート

stdio

作者

michaelwybraniec

GitHub Models Helper MCP Server について

概要はまだありません

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

GitHub Models Helper MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

GitHub Models Helper MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

1

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.

2

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.

3

How does authentication work?

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

4

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.

5

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.

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