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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.

Installation

⭐ RecommendedUv
/path-to-uv/uv --directory /path-to-project/mcp-cornell-resume run main.py
View configuration snippet
{
  "mcpServers": {
    "resume_to_notion": {
      "command": "/path-to-uv/uv",
      "args": [
        "--directory",
        "/path-to-project/mcp-cornell-resume",
        "run",
        "main.py"
      ]
    }
  }
}

💡 Tip: Make sure you have the appropriate package manager installed. Refer to the official documentation for detailed installation instructions.

Compatibility Matrix

Filter:

Cursor

STDIO
stdio:From mcp.so (unverified)

Claude Desktop

STDIO
stdio:From mcp.so (unverified)

MCP Compatible

STDIO
stdio:From mcp.so (unverified)
Verified - Tested by community
Unverified - Not yet tested
⚡ STDIO🌊 SSE🌐 HTTP

Server Information

License:unknown
Classification:active
Source:Data aggregated from public MCP directories

Quick Stats

Transports:
STDIO
Compatible Clients:3
Install Methods:1

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