KappaML MCP Server
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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 |
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API Keys |
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Models |
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Predict |
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Learn |
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Forecast |
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Metrics |
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Checkpoints |
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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.
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Maintenance
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