MCP Servers

yt-mcp-agent

This MCP server enables users to analyze YouTube videos by extracting transcripts and generating specialized content like summaries, chapter timestamps, and social media posts.

Category

README

yt-mcp-agent

A YouTube video agent built using a custom MCP server and OpenAI's Agent's SDK. It can extract video transcripts given link fetch specialized instructions for things like: writing blog posts, video chapters, and social posts.

Resources:

This example is a prelude to Cohort 7 of the AI Builders Bootcamp.

Requirements

Python 3.13+
OpenAI API key
uv package manager (recommended)

How to run this example

uv (recommended)

Clone the repository

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

Install dependencies with uv
```
uv sync
```
Set up your OpenAI API key

Create a .env file in the root directory:
```
echo "OPENAI_API_KEY=your_api_key_here" > .env
```
Run the agent
```
uv run main.py
```
Interact with agent

Once running, you can ask the agent to analyze YouTube videos. Try prompts like:
- "Summarize this: https://youtu.be/N3vHJcHBS-w?si=aw8PV0acYHJGPy7R"
- "Generate chapter timestamps with links"
- "Write me a LinkedIn post about the video"

Base Python/pip

Clone the repository

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

Create a virtual environment

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

Install dependencies
```
pip install -e .
```
Set up your OpenAI API key

Create a .env file in the root directory:
```
echo "OPENAI_API_KEY=your_api_key_here" > .env
```
Run the agent
```
python main.py
```
Interact with agent

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