openzim-mcp: OpenZIM MCP is a server that enables AI models to access and search ZIM format knowledge bases offline. It provides intelligent structured access, smart navigation, context-aware discovery, and performance optimizations for LLMs. The server supports dual modes (simple and advanced), streamable HTTP transport, batch entry retrieval, and multi-archive search.; 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.
Building a research assistant that queries offline Wikipedia
Automated hyperparameter tuning for ML models driven by an LLM