KappaML MCP Server
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@KappaML MCP ServerForecast sales for Q1 2025 using my latest model."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
|
API Keys |
|
Models |
|
Predict |
|
Learn |
|
Forecast |
|
Metrics |
|
Checkpoints |
|
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.pyThe 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-mcpClient 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.
This server cannot be installed
Maintenance
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