mymlh-mcp-server

mymlh-mcp-server

Enables AI assistants to securely access MyMLH user profiles, education, employment history, and other data via OAuth-authenticated HTTP.

Category
访问服务器

README

mymlh-mcp-server

Remote HTTP MCP Server Built for MyMLH Cloudflare Workers TypeScript Built with Hono MIT License CI

A Model Context Protocol (MCP) server that provides secure, OAuth-authenticated access to MyMLH. This server enables AI assistants and MCP clients to interact with the MyMLH API on behalf of users.

Features

  • Secure Authentication: Implements MyMLH API v4 with OAuth for robust and secure user authentication.
  • User Data Access: Provides tools to fetch a user's MyMLH profile, education, employment history, and more.
  • Automatic Token Management: Handles token refresh and secure storage automatically.
  • Cloudflare Workers: Built to run on the edge for low-latency, scalable performance.
  • Easy Deployment: Can be deployed to your own Cloudflare account in minutes.

Quick Start

You can connect to our publicly hosted instance using any MCP client that supports the Streamable HTTP transport with OAuth.

Endpoint: https://mymlh-mcp.git.ci/mcp

Add MCP Server

Install in VS Code Install in Cursor

Example configuration snippets for common MCP clients:

VS Code:

{
  "servers": {
    "mymlh": {
      "type": "http",
      "url": "https://mymlh-mcp.git.ci/mcp"
    }
  }
}

Cursor and many clients:

{
  "mcpServers": {
    "mymlh": {
      "url": "https://mymlh-mcp.git.ci/mcp"
    }
  }
}

Windsurf and many clients:

{
  "mcpServers": {
    "mymlh": {
      "serverUrl": "https://mymlh-mcp.git.ci/mcp"
    }
  }
}

Augment Code:

{
  "mcpServers": {
    "mymlh": {
      "url": "https://mymlh-mcp.git.ci/mcp",
      "type": "http"
    }
  }
}

Claude Code:

claude mcp add --transport http mymlh https://mymlh-mcp.git.ci/mcp

Gemini CLI:

gemini mcp add --transport http mymlh https://mymlh-mcp.git.ci/mcp

Codex CLI:

codex mcp add mymlh --url https://mymlh-mcp.git.ci/mcp

Cline:

{
  "mcpServers": {
    "mymlh": {
      "type": "streamableHttp",
      "url": "https://mymlh-mcp.git.ci/mcp"
    }
  }
}

Roo Code:

{
  "mcpServers": {
    "mymlh": {
      "type": "streamable-http",
      "url": "https://mymlh-mcp.git.ci/mcp"
    }
  }
}

Other clients:

Consult your client's documentation for connecting to an MCP server. If you see 401 errors, the client likely does not support Streamable HTTP with OAuth and you will need to use the fallback option below.

Fallback Option

For environments where Streamable HTTP with OAuth is not supported, you may fall back to stdio transport with mcp-remote. This wraps the HTTP MCP server into a local stdio interface, forwarding requests over HTTP behind the scenes to ensure compatibility.

Example mcp-remote configuration snippet:

{
  "mcpServers": {
    "mymlh": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mymlh-mcp.git.ci/mcp"
      ]
    }
  }
}

See mcp-remote documentation for more details on usage.

Available Tools

Once connected and authenticated, you can use the following tools:

Tool Description
mymlh_get_user Fetch current MyMLH user profile

Test with MCP Inspector

You can test the remote MCP server using the Model Context Protocol Inspector.

  1. Run the Inspector from your terminal:
    npx @modelcontextprotocol/inspector@latest
    
  2. Enter the server URL: https://mymlh-mcp.git.ci/mcp and click "Connect".
  3. Follow the authentication flow to connect and test the tools.

Testing with Cloudflare AI Playground

You can also test the server directly using the Cloudflare Workers AI LLM Playground.

  1. Go to the playground link.
  2. Enter the server URL: https://mymlh-mcp.git.ci/mcp
  3. Follow the authentication flow to connect and test the tools.

Example Usage

You can interact with the MyMLH MCP server using natural language in your AI assistant:

  • "Get my MyMLH user info."
  • "Show me my MyMLH profile."
  • "Generate a resume using my MyMLH profile."
  • "Create a GitHub profile README using my MyMLH data."

Deploying Your Own Instance

For full control, you can deploy your own instance to Cloudflare. See the Deployment Guide for detailed instructions.

Contributing

We welcome contributions! Whether you're fixing a bug, adding a feature, or improving documentation, your help is appreciated.

For development setup, project structure, how to add tools, and contributing guidelines, see CONTRIBUTING.md.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选