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Provide a learning MCP server with tools, prompts, resources, and local storage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "learn-mcp" yet — see the docs or source repo.
Help me set up a local learning assistant with learn-mcp, using JSON to store course resources, study prompts, and practice records, and explain how to use it in Cursor.
A setup plan including resource organization, JSON storage structure, and usage guidance for an AI client.
Use learn-mcp to design a learning resource library that stores materials, reusable prompts, and exercise templates by topic for ongoing reuse and updates.
A clear resource management plan with categorization, reusable prompt structure, and maintenance suggestions.
Design an AI learning workflow prototype with learn-mcp, covering resource retrieval, prompt triggering, result sampling, and local record saving.
A workflow prototype showing how the tools work together to complete learning tasks.
Learn and explore the Model Context Protocol through example tools and prompts.
Build, debug, and manage software tasks with natural language across LLMs.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Auto-generate MCP servers so AI can query data sources without code.
Call tools like weather lookup via MCP with reusable resources and prompts.