GitHub Models Helper MCP Server

Name: GitHub Models Helper MCP Server
Author: michaelwybraniec

@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.