YouTube MCP

What is YouTube MCP about?

YouTube MCP enables advanced interaction with YouTube content by allowing users to search videos, fetch detailed transcripts, and perform semantic searches over video content, all without the official YouTube API. It integrates a vector database to store and query embeddings for fast, relevance‑based discovery.

How to use YouTube MCP?

1. Clone the repository.
2. Install required Python dependencies (e.g., via pip install -r requirements.txt).
3. Run the server script to start the MCP service.
4. Use the provided endpoints or CLI to submit search queries, request transcripts, or execute semantic searches.

Key features of YouTube MCP

• Advanced Search: Keyword‑based video lookup with AI‑driven ranking.
• Transcript Retrieval: Automatic fetching and cleaning of video subtitles.
• Semantic Search: Embedding‑based similarity search across video content.
• Vector Database Integration: Efficient storage and retrieval of embeddings.
• No Official API Required: Operates without Google API keys.

Use cases of YouTube MCP

• Content creators scouting for trending topics or related videos.
• Researchers performing large‑scale analysis of video discussions.
• Developers building recommendation engines that rely on semantic similarity.
• Educators extracting precise transcript excerpts for teaching materials.

FAQ from the YouTube MCP

Q: Does the server need a Google API key? A: No, it works without the official YouTube API.

Q: Which vector database is supported? A: The project is compatible with any database that accepts embedding vectors (e.g., Pinecone, Milvus, Weaviate).

Q: Can I run the server locally? A: Yes, after installing dependencies you can start it on your machine.

Q: Is there a Docker image available? A: The repository does not currently provide an official Dockerfile.

Q: How are transcripts obtained? A: The server scrapes subtitles from YouTube pages and processes them into clean text.

YouTube MCP: AI-Powered Solution for Enhanced YouTube Experience 🚀

Welcome to the YouTube MCP (Machine Learning Content Provider) repository! This innovative solution is designed to reshape how you interact with YouTube content, offering advanced features without the need for the official API. With YouTube MCP Server, users can effortlessly search for videos, access detailed transcripts, and perform semantic searches on video content, all while leveraging the power of machine learning technology. By integrating with a vector database, this server simplifies and enhances the process of content discovery.

Repository Overview

Repository Name: YouTube-MCP
Short Description: YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.
Topics: ai, machine-learning, mcp, mcp-server, python, semantic-search, transcripts, uv, vector-database, youtube

For the latest version of the YouTube MCP Server, visit Releases.

Features

🔍 Advanced Search: Easily find YouTube videos using sophisticated search capabilities.
📝 Transcript Retrieval: Access detailed transcripts of videos for enhanced content understanding.
🔗 Semantic Search: Perform semantic searches over video content to discover related videos efficiently.
🧠 Machine Learning Integration: Benefit from AI-powered technology for a smarter YouTube experience.
🗃️ Vector Database Integration: Streamline content discovery through seamless integration with a vector database.

Installation

To download and execute the latest version of the YouTube MCP Server, please visit Releases.

Getting Started

1. Clone the repository to your local machine.
2. Install the necessary dependencies.
3. Run the server application.
4. Start exploring YouTube content with advanced features!

Usage

1. Enter your search query to find relevant YouTube videos.
2. Access detailed video transcripts for in-depth content analysis.
3. Perform semantic searches to discover related videos and broaden your content horizon.

Contributing

Contributions to the YouTube MCP project are welcome! Whether you are a machine learning enthusiast, a Python developer, or a content discovery expert, your input can help shape the future of this innovative solution.

1. Fork the repository.
2. Make your enhancements or additions.
3. Submit a pull request for review.

Support

For any questions or issues related to the YouTube MCP Server, feel free to reach out to the project maintainers. Your feedback is valuable in improving the functionality and user experience of this AI-powered solution.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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🚀 Revolutionize your YouTube experience with YouTube MCP Server! Explore, discover, and engage with video content like never before. Download the latest version now and unleash the power of machine learning at your fingertips. Let's enhance your YouTube journey together!