
awslabs/mcp9.8k
OAuth-enabled MyMLH MCP server for accessing MyMLH data.
Add --scope user to use it in every project.
Remote server (http)
claude mcp add --transport http mymlh-mcp-server https://mymlh-mcp.git.ci/mcp
Remote server (sse)
claude mcp add --transport sse mymlh-mcp-server https://mymlh-mcp.git.ci/sse
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:
{
"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.
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.
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.
npx @modelcontextprotocol/inspector@latest
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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