mcp-cornell-resume

johndezr/mcp-cornell-resume

3.2

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A Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from the conversational context, with RAG active recall question generation and Notion integration.

The MCP: Cornell Resume server is designed to enhance the learning and note-taking process by automatically generating Cornell-style notes from conversational contexts. It leverages advanced technologies such as OpenAI for text processing and Pinecone for semantic search, ensuring that the notes are contextually relevant and enriched with active recall questions. The server seamlessly integrates with Notion, allowing users to store and organize their notes efficiently. This tool is particularly useful for students and professionals who engage in extensive discussions and need to capture key insights and questions for future reference. The server operates in real-time, ensuring that notes are generated and updated as conversations progress, and it supports a variety of MCP-compatible applications.

Features

  • Real-time Cornell-style note generation from the client chat conversation history
  • Context-aware active recall question generation using vector similarity
  • Semantic search integration with Pinecone for relevant note retrieval
  • Automatic Notion database synchronization with proper block formatting
  • OpenAI-powered text processing and question generation

Tools

  1. save_resume_to_notion

    Summarize the full ongoing chat conversation and send it as 'text'.