YouTube MCP Agent

An MCP (Model Context Protocol) server agent for analyzing YouTube videos, built with OpenAI's Agent SDK. This tool allows you to extract transcripts, generate summaries, create chapter timestamps, and write content based on YouTube videos.

Requirements

• Python 3.13+

• OpenAI API key

• uv package manager (recommended)

How to run this example

uv (recommended)

1. Clone the repository

   git clone <repository-url> cd yt-mcp-agent

2. Install dependencies with uv

   uv sync

3. Set up your OpenAI API key

   Create a .env file in the root directory:

   echo "OPENAI_API_KEY=your_api_key_here" > .env

4. Run the agent

   uv run main.py

5. Interact with agent

   Once running, you can ask the agent to analyze YouTube videos. Try prompts like:

   • "Summarize this: "

   • "Generate chapter timestamps with links"

   • "Write me a LinkedIn post about the video"

Base Python/pip

1. Clone the repository

   git clone <repository-url> cd yt-mcp-agent

2. Create a virtual environment

   python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies

   pip install -e .

4. Set up your OpenAI API key

   Create a .env file in the root directory:

   echo "OPENAI_API_KEY=your_api_key_here" > .env

5. Run the agent

   python main.py

6. Interact with the agent

   Once running, you can interact with the agent via the CLI.