GitHub Models Helper MCP Server

@michaelwybraniec

代码仓库

基本信息

分类

版本控制

传输方式

stdio

作者

michaelwybraniec

关于 GitHub Models Helper MCP Server

暂无概览

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

GitHub Models Helper MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

GitHub Models Helper MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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