Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

OAuth-enabled MyMLH MCP server for accessing MyMLH data.

README.md

!mymlh-mcp-server

![Remote HTTP MCP Server](https://modelcontextprotocol.io/specification/2026-07-28/basic/transports) ![Built for MyMLH](https://www.mlh.com/) ![Cloudflare Workers](https://developers.cloudflare.com/workers/) ![TypeScript](https://www.typescriptlang.org/) ![Built with Hono](https://hono.dev/) ![MIT License](https://wei.mit-license.org) ![CI](https://github.com/wei/mymlh-mcp-server/actions/workflows/ci.yml)

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](https://insiders.vscode.dev/redirect/mcp/install?name=mymlh&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmymlh-mcp.git.ci%2Fmcp%22%7D) ![Install in Cursor](https://cursor.com/en/install-mcp?name=mymlh&config=eyJ1cmwiOiJodHRwczovL215bWxoLW1jcC5naXQuY2kvbWNwIn0%3D)

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"
    }
  }
}

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
  1. Enter the server URL: https://mymlh-mcp.git.ci/mcp and click "Connect".
  2. 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

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Other servers.