About mymlh-mcp-server
mymlh-mcp-server gives AI assistants and MCP clients OAuth-authenticated access to MyMLH data. It provides a user-profile lookup tool and can run on Cloudflare Workers or be accessed through its hosted endpoint.
Key features
- 01OAuth authentication with MyMLH API v4
- 02Fetch the authenticated user's profile
- 03Automatic token refresh and secure storage
- 04Cloudflare Workers deployment
- 05Streamable HTTP with OAuth and stdio fallback
Use cases
- 01Retrieve a MyMLH profile for an assistant
- 02Use MyMLH data when preparing a resume
- 03Generate a GitHub profile README from MyMLH data
MCP support
The server exposes the `mymlh_get_user` tool to authenticated MCP clients over Streamable HTTP. An `mcp-remote` stdio fallback is documented for clients without Streamable HTTP OAuth support.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mymlh-mcp.git.ci/mcpclaude mcp add --transport http ci-git-mymlh https://mymlh-mcp.git.ci/mcp{"mcpServers":{"ci-git-mymlh":{"type":"http","url":"https://mymlh-mcp.git.ci/mcp"}}}Open in Cursor{"servers":{"ci-git-mymlh":{"type":"http","url":"https://mymlh-mcp.git.ci/mcp"}}}Open in VS Code{"mcpServers":{"ci-git-mymlh":{"type":"http","url":"https://mymlh-mcp.git.ci/mcp"}}}{"mcpServers":{"ci-git-mymlh":{"serverUrl":"https://mymlh-mcp.git.ci/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mymlh-mcp.git.ci/mcphttps://mymlh-mcp.git.ci/sseTools
Details
From the project READMEA 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
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.
- Run the Inspector from your terminal:
npx @modelcontextprotocol/inspector@latest - Enter the server URL:
https://mymlh-mcp.git.ci/mcpand click "Connect". - 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.
- Go to the playground link.
- Enter the server URL:
https://mymlh-mcp.git.ci/mcp - 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.