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GitHub Models Helper MCP Server

@michaelwybraniec

代码仓库

关于 GitHub Models Helper MCP Server

暂无概览

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

基本信息

分类

版本控制

运行时

node

传输方式

stdio

发布者

michaelwybraniec

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"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

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.

评论

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