Kapruka MCP Server

Python MCP server that wraps the Kapruka.com REST API and exposes it as tools for LLMs and third-party MCP clients.

Setup

# 1. Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate

# 2. Install dependencies
pip install -e ".[dev]"

# 3. Configure environment
cp .env.example .env
# Edit .env with your Kapruka API URL and key

Running

# Start the MCP server (streamable HTTP, default port 8000)
python cli.py server

# Start with stdio transport (for use with MCP Inspector)
python cli.py server --stdio

# Health-check the Kapruka REST API
python cli.py ping

# List registered MCP tools
python cli.py tools

Testing with MCP Inspector

npx @modelcontextprotocol/inspector python cli.py server --stdio

Project Structure

src/
  server.py        # FastMCP server entry point
  tools/           # One module per tool group (products, orders, …)
  api/
    client.py      # Async httpx client + error handling
  config/
    settings.py    # Env-based configuration
tests/             # pytest test suite
cli.py             # Developer CLI

Trusted partners

First-party callers that can't be IP-allowlisted (e.g. Kapruka's web assistant on Cloudflare Workers) authenticate with an X-Partner-Key header instead, with optional per-customer limits via X-Partner-Customer-Id. Configured with PARTNER_KEYS / PARTNER_SCOPES / PARTNER_LIMITS. See docs/PARTNER_ACCESS.md and the deploy steps in deploy/README.md.

Running Tests

pytest