ml-trainer-mcp is an open-source MCP server that enables training and evaluation of machine learning models using MCP tools. Below are 11 ai & ml apps with similar functionality to ml-trainer-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
LeanMCP is an open-source infrastructure platform for building and deploying agentic AI using MCP servers. It offers SDKs for TypeScript and Python, managed deployment, observability, and integrations to help developers ship AI agents efficiently.
wm-mcp is an open-source CLI tool that lets users run a world model locally and expose it as an MCP server, enabling LLM agents to call it as a tool. It supports video models and is designed for AI researchers and developers.
lm-mcp is an open-source MCP server that integrates LogicMonitor platform APIs with external systems. It provides an API gateway for monitoring and automation, targeting DevOps engineers and system integrators.
mcp-mcts is an open-source CLI tool for local MCP security scanning, attack chain analysis, inventory management, and CI integration. It supports optional Semgrep and LLM analysis, making it suitable for security engineers and DevOps teams focused on codebase security.
Autotrain Mcp provides a web-based interface for users to submit, manage, and monitor AI model training jobs. It offers status tracking, detailed results, and recommendations, streamlining the workflow for machine learning engineers and data scientists.
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
mcpvet is an open-source CLI tool that combines testing, linting, and contract validation for MCP servers. It integrates with pytest and ESLint, streamlining the development and quality assurance process for developers working with the Model Context Protocol.
mcp-llm-eval is an open-source CLI tool and MCP server that packages LLM evaluation gates as reusable primitives for CI/CD workflows. It enables developers and ML engineers to automate and standardize the evaluation of large language models within their development pipelines. The tool supports benchmarking and integration with MCP for scalable model assessment.
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
malt-mcp is an open-source Python MCP server that enables freelance platforms to manage user profiles, stats, and missions through AI assistants. It supports the Model Context Protocol and integrates with Anthropic's AI models for automation.
