GoProfiles MCP Server

GoProfiles MCP Server

Exposes GoProfiles as tools for AI assistants, allowing users to interact with GoProfiles via natural language.

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README

GoProfiles MCP Server

An MCP server that exposes GoProfiles as tools for AI assistants. Built with FastMCP.

Hosted HTTP Mode

This server is intended to run as a hosted remote MCP server over Streamable HTTP.

Public endpoint shape:

https://mcp.goprofiles.io/mcp

Local development endpoint shape:

http://localhost:8000/mcp

Authentication

The hosted server does not use a shared GOPROFILES_API_TOKEN.

MCP clients should send a per-user GoProfiles OAuth/API bearer token with each request:

Authorization: Bearer YOUR_TOKEN

The MCP server forwards that header to api.goprofiles.io. GoProfiles remains responsible for token validation, scope enforcement, refresh, storage, and revocation.

An OAuth client must be pre-registered in your GoProfiles workspace with:

  • Allowed scopes: (define when tools are added)
  • Redirect URIs: the exact callback URL(s) your MCP client uses

Local Development

This project uses Python 3.12 and uv.

  1. Install Python 3.12.
  2. Install uv.
  3. Create the local environment and install dependencies:
uv sync
  1. Run the MCP server locally:
uv run python -m goprofiles_mcp

The server binds to 0.0.0.0:8000 by default. Override with MCP_HOST and MCP_PORT if you need a different host or port:

MCP_HOST=127.0.0.1 MCP_PORT=9000 uv run python -m goprofiles_mcp
  1. Verify health and OAuth discovery:
curl http://localhost:8000/health
curl http://localhost:8000/.well-known/oauth-authorization-server

Docker

Build and run locally:

docker build -t goprofiles-mcp .
docker run --rm -p 8000:8000 goprofiles-mcp

Tools

No tools are registered yet. Add modules under src/goprofiles_mcp/tools/ and register them in src/goprofiles_mcp/server.py.

Tool Description Scope
— — —

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