ml-trainer-mcp is an open-source MCP server that enables training and evaluation of machine learning models using MCP tools. It provides both CLI and API interfaces for ML engineers to automate and standardize their workflows.
ml-trainer-mcp sits in PulseGate's AI category. It focuses on automating the training and evaluation of machine learning models through a standardized MCP server interface. ml-trainer-mcp is an open-source project aimed at machine learning engineers. The project is open source (MIT). It runs on the command line and API.
ml-trainer-mcp first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are model training, model evaluation, and MCP server. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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