ci.git/mymlh-mcp-server MCP Server
ci.git/mymlh-mcp-server
OAuth-enabled MCP server for secure access to MyMLH profile and user data.
What is the ci.git/mymlh-mcp-server MCP server?
The MyMLH MCP server is a Model Context Protocol server that provides secure, OAuth-authenticated access to MyMLH (Major League Hacking) user data. It enables AI assistants to fetch user profiles, education history, employment information, and other MyMLH data on behalf of authenticated users.
This MCP server bridges AI assistants with the MyMLH API using OAuth authentication. It handles token management automatically and runs on Cloudflare Workers for low-latency performance. Use it to integrate MyMLH profile data into AI workflows, such as generating resumes or GitHub profiles from your MyMLH information.
How to install ci.git/mymlh-mcp-server
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
mymlh_get_user— Fetch current MyMLH user profile
Use cases
- Retrieve your MyMLH user profile and personal information via AI assistant
- Generate a resume using data from your MyMLH profile
- Create a GitHub profile README populated with MyMLH data
- Access your education and employment history from MyMLH
- Integrate MyMLH data into AI-powered applications and workflows
ci.git/mymlh-mcp-server MCP server FAQ
It's an MCP server that provides OAuth-authenticated access to MyMLH (Major League Hacking) user data, allowing AI assistants to fetch profiles, education history, and employment information securely.
Yes, the server is open-source under the MIT license and can be used via the publicly hosted instance or deployed to your own Cloudflare account.
Add the following to your Cursor MCP configuration: {"mcpServers": {"mymlh": {"url": "https://mymlh-mcp.git.ci/mcp"}}}
Use the Claude CLI command: claude mcp add --transport http mymlh https://mymlh-mcp.git.ci/mcp
The server uses MyMLH API v4 with OAuth. You authenticate via the OAuth flow when you first connect; the server handles token refresh automatically.
Yes, you can deploy your own instance to Cloudflare Workers. See the DEPLOYMENT.md guide in the repository for detailed instructions.
README (reference)
Source of truth, from the repository.
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
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
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