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Youtube Research Mcp

@danhilseon a year ago
3 MIT
FreeCommunity
AI Systems
A YouTube MCP Server for aggregated video searches and sequential logging.

Overview

What is Youtube Research Mcp

youtube_research_mcp is a server designed to facilitate YouTube video searches by integrating sequential thinking and YouTube API functionalities.

Use cases

Use cases include generating video content ideas based on trending topics, analyzing video performance metrics, and conducting research on video trends and audience engagement.

How to use

To use youtube_research_mcp, clone the repository from GitHub, navigate to the project directory, and follow the setup instructions provided in the README.

Key features

Key features include sequential thinking for logging operations, aggregated search capabilities for YouTube videos, sampling mechanisms for generating search queries, and integration with the YouTube API to fetch video metadata.

Where to use

youtube_research_mcp can be used in fields such as digital marketing, content creation, educational research, and data analysis where YouTube video insights are valuable.

Content

My YouTube MCP Server

This MCP server integrates:

  • Sequential Thinking: Logs each step as separate “thoughts” to provide visibility into the server’s operations.
  • YouTube Aggregated Search:
    • Sampling: Uses MCP’s sampling mechanism to generate search queries based on user topics.
    • YouTube API Integration: Fetches short and long videos for each search query.
    • Result Aggregation: Compiles and returns video IDs with metadata.

Setup Instructions

  1. Clone the Repository

    git clone https://github.com/yourusername/my-youtube-server.git
    cd my-youtube-server

Tools

No tools

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