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by phoenixai-sw • Analytics & Monitoring
A Python-based MCP server for searching, summarizing, and analyzing YouTube content, designed to be used with MCP clients like Claude, Cursor, or the OpenAI Agents SDK.
Search YouTube for videos and retrieve metadata programmatically via a standardized MCP tool interface.
Fetch video transcripts and generate concise summaries of YouTube content for downstream tasks.
Analyze YouTube channels (e.g., statistics, recent uploads) and integrate those insights into conversational workflows using OpenAI Agents SDK or other MCP clients.
This repository implements an MCP (Model Context Protocol) server that exposes tools for YouTube search, transcript summarization, and channel analysis. It demonstrates how to wire a local MCP server to MCP clients (Claude, Cursor, OpenAI Agents SDK) and includes example server and client scripts plus a Streamlit demo. The project requires an OpenAI API key and YouTube Data API key, and shows how to configure and run the server for local agent usage.
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