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GitHub Models Helper MCP Server

@michaelwybraniec

リポジトリ

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

基本情報

カテゴリ

バージョン管理

ランタイム

node

トランスポート

stdio

公開者

michaelwybraniec

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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

FAQ from GitHub Models Helper MCP Server

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.

コメント

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