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KappaML
by KappaML

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

Related MCP server: AI Core MCP Server

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.

F
license - not found
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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