LightGBM

GitHub

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Official MCP Monorepo Collection

LightGBM Modular Servers

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Available Sub-Servers (10)

Boosting
node

Model Context Protocol (boosting) server

npx -y @modelcontextprotocol/server-boosting
Arrow
node

Model Context Protocol (arrow) server

npx -y @modelcontextprotocol/server-arrow
Application
node

Model Context Protocol (application) server

npx -y @modelcontextprotocol/server-application
Cuda
node

Model Context Protocol (cuda) server

npx -y @modelcontextprotocol/server-cuda
Io
node

Model Context Protocol (io) server

npx -y @modelcontextprotocol/server-io
Metric
node

Model Context Protocol (metric) server

npx -y @modelcontextprotocol/server-metric
Network
node

Model Context Protocol (network) server

npx -y @modelcontextprotocol/server-network
Objective
node

Model Context Protocol (objective) server

npx -y @modelcontextprotocol/server-objective
Treelearner
node

Model Context Protocol (treelearner) server

npx -y @modelcontextprotocol/server-treelearner
Utils
node

Model Context Protocol (utils) server

npx -y @modelcontextprotocol/server-utils