Mymlh Mcp Server

ci.git由 git.ci 发布官方发布者v1.0.0更新于 Nov 2, 2026

OAuth-enabled MyMLH MCP server for accessing MyMLH data.

已验证Streamable HTTP可网页运行开发者工具安全与监控

概览

AI 生成的概览

一个通过 OAuth 认证的远程 MCP 服务器,让助手经 MyMLH API 读取用户的 MyMLH 个人资料数据。

可以做什么
  • 用 mymlh_get_user 工具获取当前登录用户的 MyMLH 个人资料
  • 把返回的资料、教育经历和任职经历作为上下文,用于撰写简历或个人主页 README 等任务
  • 在托管端点上自动处理 OAuth 登录与令牌刷新
适用场景
适合希望助手处理自己 MyMLH 账户数据的场景,例如总结个人资料或据此生成文档。若没有 MyMLH 账户,或只需要通用的网页与编程协助,则没有必要添加。
运行要求
支持 Streamable HTTP 与 OAuth 的远程 MCP 客户端,连接到托管端点。需要 MyMLH 账户完成 OAuth 登录。不支持 OAuth 的客户端可通过 npx 使用 mcp-remote 作为本地 stdio 包装,需要 Node.js。
安装前请注意
服务器代表你调用 MyMLH API,可读取你的个人资料、教育及任职信息,只应授权给可信的客户端。它会自动存储并刷新 OAuth 令牌。README 说明也可自行部署到 Cloudflare 以获得完全控制。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mymlh Mcp Server,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ci.git%2Fmymlh-mcp-server/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

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

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:

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

Cursor and many clients:

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

Windsurf and many clients:

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

Augment Code:

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

Claude Code:

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

Gemini CLI:

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

Codex CLI:

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

Cline:

json
{  "mcpServers": {    "mymlh": {      "type": "streamableHttp",      "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:

json
{  "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:

ToolDescription
mymlh_get_userFetch 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:
    bash
    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

来源:README.md,提交 1a02398

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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