MCP Servers

yt-analysis-mcp

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

README

yt-analysis-mcp

An MCP server that analyzes YouTube videos using Google's Gemini API. Pass in a YouTube URL to get summaries or ask questions about the video content.

Features

Summarize videos - Get brief, medium, or detailed summaries with timestamps
Ask questions - Ask specific questions about video content
Direct URL support - No video downloading required; Gemini analyzes YouTube URLs directly

Installation

git clone https://github.com/yourusername/yt-analysis-mcp.git
cd yt-analysis-mcp
pnpm install
pnpm build

Configuration

Set your Gemini API key:

export GEMINI_API_KEY=your-api-key

Get an API key from Google AI Studio.

Usage

Claude Code

claude mcp add -s user -e GEMINI_API_KEY=your-key yt-analysis -- node /path/to/yt-analysis-mcp/dist/index.js

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "yt-analysis": {
      "command": "node",
      "args": ["/path/to/yt-analysis-mcp/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-key"
      }
    }
  }
}

Tools

`summarize_video`

Summarize a YouTube video's content.

Parameter	Type	Required	Description
`youtube_url`	string	Yes	Full YouTube URL
`detail_level`	string	No	`brief`, `medium` (default), or `detailed`

`ask_about_video`

Ask a specific question about a YouTube video's content.

Parameter	Type	Required	Description
`youtube_url`	string	Yes	Full YouTube URL
`question`	string	Yes	Your question about the video

Supported URL Formats

https://www.youtube.com/watch?v=VIDEO_ID
https://youtu.be/VIDEO_ID
https://youtube.com/shorts/VIDEO_ID

Development

# Run in development mode
pnpm dev

# Run tests
pnpm test

# Build
pnpm build

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured