YouTube MCP

A Model Context Protocol (MCP) server for YouTube video analysis, providing tools to get transcripts, summarize content, and query videos using Gemini AI.

Features

• 📝 Transcript Extraction: Get detailed transcripts from YouTube videos

• 📊 Video Summarization: Generate concise summaries using Gemini AI

• ❓ Natural Language Queries: Ask questions about video content

• 🔍 YouTube Search: Find videos matching specific queries

• 💬 Comment Analysis: Retrieve and analyze video comments

Related MCP server: YouTube Transcript Extractor MCP

Requirements

• Python 3.9+

• Google Gemini API key

• YouTube Data API key

Running Locally

Installing via Smithery

To install youtube-mcp for Claude Desktop automatically via Smithery:

Option 1: Install directly from smithery

Option 2: Local setup

1. Clone the repository:

   git clone https://github.com/Prajwal-ak-0/youtube-mcp cd youtube-mcp

2. Create a virtual environment and install dependencies:

   python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate pip install -e .

3. Create a .env file with your API keys:

   GEMINI_API_KEY=your_gemini_api_key YOUTUBE_API_KEY=your_youtube_api_key

4. Run MCP Server

   mcp dev main.py

   Navigate to Stdio

   OR

5. Go cursor or windsurf configure with this json content:

   { "youtube": { "command": "uv", "args": [ "--directory", "/absolute/path/to/youtube-mcp", "run", "main.py", "--transport", "stdio", "--debug" ] } }

Available Tools

• youtube/get-transcript: Get video transcript

• youtube/summarize: Generate a video summary

• youtube/query: Answer questions about a video

• youtube/search: Search for YouTube videos

• youtube/get-comments: Retrieve video comments

• youtube/get-likes: Get video like count

Contributing

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