34 boosters for "lms" — AI-graded, open source, ready to install
A specialized agent that systematically crafts, tests, and optimizes prompts for LLMs through multiple cognitive modes (generative, critical, evaluative, informative) and performance measurement. Ideal for AI engineers, prompt researchers, and developers seeking to maximize LLM output quality.
A Canvas LMS integration MCP server that enables quick access to courses, assignments, and grades directly from Claude, Cursor, and Claude Code. Students and educators benefit from streamlined coursework management without leaving their AI assistant.
An MCP server that enables LLMs to inspect, test, and debug other MCP servers, helping developers validate and troubleshoot their MCP implementations. Ideal for MCP developers, AI agents, and anyone building or integrating multiple MCP servers.
Crafts and optimizes prompts for LLMs and AI systems with systematic optimization, performance measurement, and iterative refinement for maximum effectiveness
Clara – A privacy-first, client-side AI assistant WebUI for LLMs. No backend, no data leaks. Keep your conversations completely yours, If you like it, Don't Forget to Give a Star 🌟
MetehanGZL Pokemcp provides developers with detailed Pokémon data and information through a standardized MCP interface, enabling AI assistants to access comprehensive game information for building Pokémon-related applications and features.
A system prompt that enables LLMs to trigger local development tasks (git, shell commands) via webhooks. Intended for developers using Claude, Cursor, or similar AI coding tools who want voice-triggered automation.
Heuristic scoring (no AI key configured).
Cursor rules for Learnology AI LMS that guide developers to wrap UI components with LunaContextElement and provide structured context data for AI assistant integration. Useful for teams building AI-enhanced learning management systems.
This MCP server enables AI assistants to read, search, and interact with any MediaWiki wiki (Wikipedia, internal wikis, etc.), allowing LLMs to access and leverage wiki content programmatically. Developers and organizations using MediaWiki instances benefit from seamless AI integration for knowledge retrieval and automation.
