KappaML MCP Server

Remote MCP server that exposes the KappaML API as tools for AI assistants like Claude Desktop and Claude Code.

Tools (21)

Category	Tools
Users	get_user_profile, update_user_profile
API Keys	create_api_key, list_api_keys, delete_api_key
Models	list_models, create_model, get_model, delete_model
Predict	predict, predict_batch
Learn	learn, learn_batch
Forecast	forecast
Metrics	get_metrics, get_metrics_history
Checkpoints	list_checkpoints, create_checkpoint, get_checkpoint, delete_checkpoint, restore_checkpoint

Setup

Install locally

cd kappaml-mcp
pip install -e .

Run the server

# Option 1: Set API key via environment variable (single-tenant)
export KAPPAML_API_KEY=sk.xxx
python server.py

# Option 2: Clients send their own key via Authorization header (multi-tenant)
python server.py

The server starts on http://0.0.0.0:8000.

Docker

docker build -t kappaml-mcp .
docker run -p 8000:8000 -e KAPPAML_API_KEY=sk.xxx kappaml-mcp

Client Configuration

Claude Code

claude mcp add --transport http kappaml http://localhost:8000/mcp \
  --header "Authorization: Bearer sk.xxx"

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "kappaml": {
      "url": "http://localhost:8000/mcp",
      "headers": {
        "Authorization": "Bearer sk.xxx"
      }
    }
  }
}

Authentication

The server extracts the API key from the Authorization: Bearer <key> header sent by the MCP client and forwards it as X-API-Key to the KappaML API. If no header is present, it falls back to the KAPPAML_API_KEY environment variable.