optuna-mcp: Optuna MCP Server exposes the Optuna hyperparameter optimization framework as a Model Context Protocol server. It lets LLMs and AI assistants run and manage optimization studies directly through a chat interface, create and analyze Optuna trials, and optimize parameters for any workflow. Compatible with Claude Desktop, Cursor, and other MCP clients via uv or Docker.; mcphub: MCPHub is a unified hub designed to simplify the management and scaling of multiple Model Context Protocol (MCP) servers. It organizes these servers into flexible Streamable HTTP (SSE) endpoints, enabling access to all servers, individual servers, or logical server groups. This platform offers features like centralized management, flexible routing, and Docker-ready deployment for seamless operation.
Automated hyperparameter tuning for ML models driven by an LLM
Centralized access for AI clients to multiple MCP servers.