Mcp Cornell Resume

Created By

johndezr7 months ago

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.

# Notion

# Cornell

Overview Content Tools Comments

Overview

What is Mcp Cornell Resume?

Mcp Cornell Resume is a Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from conversational context, integrating active recall question generation and Notion synchronization.

How to use Mcp Cornell Resume?

To use the MCP server, clone the repository, install the required dependencies, configure your environment with API keys, and run the server. You can then integrate it with compatible applications like Claude Client Desktop.

Key features of Mcp Cornell Resume?

Real-time Cornell-style note generation from chat history.
Context-aware active recall question generation using vector similarity.
Semantic search integration with Pinecone for relevant note retrieval.
Automatic synchronization with Notion for organized note storage.
OpenAI-powered text processing and question generation.

Use cases of Mcp Cornell Resume?

Generating structured study notes from lecture conversations.
Creating active recall questions for exam preparation.
Organizing notes in Notion for easy access and review.

FAQ from Mcp Cornell Resume?

Can I use Mcp Cornell Resume with any chat application?

Yes, it can be integrated with any MCP-compatible application.

Is there a limit to the number of notes I can generate?

The only limitation is the context window of the LLM, which may affect longer conversations.

How does the integration with Notion work?

The server automatically saves generated notes to your Notion database, formatted for easy reading.

Server Config

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

Recommend Servers

TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.

AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

WindsurfThe new purpose-built IDE to harness magic

Tavily Mcp

Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Playwright McpPlaywright MCP server

Serper MCP ServerA Serper MCP Server

CursorThe AI Code Editor

Amap Maps高德地图官方 MCP Server

Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code

DeepChatYour AI Partner on Desktop