YouTube MCP Agent

MCPOpen Source45.8

by dabidstudio • Analytics & Monitoring

An example MCP server that exposes YouTube search, transcript summarization, and channel analysis tools for AI agents.

Example Use Cases

1
Search YouTube and retrieve relevant video metadata and links programmatically.
2
Fetch video transcripts and generate concise summaries or highlights.
3
Analyze channel-level data (e.g., content overview) and present findings via standardized MCP tools.

Description

This repository implements an MCP (Model Context Protocol) server in Python that provides tools for searching YouTube, retrieving transcripts, summarizing content, and analyzing channels. It demonstrates how to wire those tools into MCP clients (e.g., OpenAI Agents SDK, Streamlit) so agents can call YouTube-related functionality as standardized tools. The README includes setup steps, required API keys (OpenAI and YouTube Data API), and examples for running the server and client. It is intended as a practical example and starter kit for building agent-accessible YouTube tooling.

Quick Actions

View on GitHub

Security

Scanned 3 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D40/100

3/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerdabidstudio

CategoryAnalytics & Monitoring

DependenciesStandalone