OAuth-enabled MyMLH MCP server for accessing MyMLH data.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Mymlh Mcp Server.
mymlh_get_userFetch current MyMLH user profile
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.
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
Example configuration snippets for common MCP clients:
VS Code:
Cursor and many clients:
Windsurf and many clients:
Augment Code:
Claude Code:
Gemini CLI:
Codex CLI:
Cline:
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.
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:
See mcp-remote documentation for more details on usage.
Once connected and authenticated, you can use the following tools:
| Tool | Description |
|---|---|
mymlh_get_user | Fetch current MyMLH user profile |
You can test the remote MCP server using the Model Context Protocol Inspector.
https://mymlh-mcp.git.ci/mcp and click "Connect".You can also test the server directly using the Cloudflare Workers AI LLM Playground.
https://mymlh-mcp.git.ci/mcpYou can interact with the MyMLH MCP server using natural language in your AI assistant:
For full control, you can deploy your own instance to Cloudflare. See the Deployment Guide for detailed instructions.
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.
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