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Lecture Notes Generator

A Model Context Protocol (MCP) server that automatically generates detailed lecture notes from transcripts using Claude AI.

Overview

Lecture Notes Generator transforms raw lecture transcripts into well-structured, formatted Markdown notes. It handles reading the transcript file and saving the generated notes to your specified location.

Important Note: This project provides only the MCP prompt server that initiates the note-taking process. To handle actual file operations (reading transcripts and saving notes), you must also install the Filesystem MCP Server on your client.

How It Works

This tool uses two complementary MCP servers:

This server (Lecture Notes Generator): Creates the specialized prompt for Claude to generate notes
Filesystem MCP Server: Handles file operations (reading the transcript and saving the generated notes)

The process flow:

You provide lecture details including transcript location
This server generates instructions for Claude
Claude uses the Filesystem MCP Server to read the transcript
Claude processes the content and generates notes
Claude saves the notes via the Filesystem MCP Server

Features

Processes lecture transcripts into organized notes
Generates clear headings and subheadings
Uses proper Markdown formatting with mathematical notation support
Extracts key concepts, definitions, and examples
Structures notes in a logical flow following the lecture
Highlights important formulas, algorithms, and theoretical frameworks
Supports customization through special formatting requests

Installation

# Clone the repository
git clone https://github.com/yourusername/lecture-notes-generator.git
cd lecture-notes-generator

# Install dependencies
npm install

# Build the project
npm run build

Requirements

Node.js (v16+)
CLaude Desktop Client (or any other client that utilized MCP server tools and prompts)
MCP SDK (@modelcontextprotocol/sdk)
Filesystem MCP Server for file operations

Input Parameters

The generator accepts the following parameters:

Parameter	Description	Required
courseName	Name of the course	Yes
lectureNumber	Lecture number	Yes
lectureTopic	Topic of the lecture	Yes
transcriptFilePath	File path to the lecture transcript	Yes
outputDirectory	Directory where notes should be saved	Yes
outputFilename	Filename for the output notes	Yes
specialFormatting	Any special formatting requirements	No
contentToEmphasize	Specific content that should be emphasized	No
otherInstructions	Other instructions for note generation	No

Example Request

const request = {
  courseName: "Introduction to Computer Science",
  lectureNumber: "3",
  lectureTopic: "Data Structures",
  transcriptFilePath: "/path/to/lecture3.txt",
  outputDirectory: "/path/to/output",
  outputFilename: "lecture3-notes.md",
};

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

note-taker