What is the MCP Server?
The MCP Server is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.
How does the MCP Server benefit YouTube content analysis?
The MCP Server enhances YouTube content analysis by providing tools for transcript extraction, video summarization, natural language queries, YouTube search, and comment analysis.
What are the requirements to run the MCP Server locally?
To run the MCP Server locally, you need Python 3.9+, a Google Gemini API key, and a YouTube Data API key.
How can I install the MCP Server?
You can install the MCP Server via Smithery or by setting it up locally by cloning the repository and following the installation instructions.
Can the MCP Server be integrated with the UBOS Platform?
Yes, the MCP Server can be integrated with the UBOS Platform, enhancing AI Agent development and deployment capabilities.
YouTube MCP
Project Details
- Prajwal-ak-0/youtube-mcp
- Last Updated: 4/18/2025
Recomended MCP Servers
An MCP server that provides LLMs with the latest stable package versions when coding
A Model Context Protocol (MCP) server for querying the VirusTotal API.
A MCP server to search for accurate academic articles.
A Model Context Protocol (MCP) server that provides tools for interacting with Trello boards.
A minimal MCP Server based on the Anthropic's "think" tool research
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.





