Youtube Vision MCP Server

MCP server using Gemini Vision API to interact with YouTube videos.

Local serverstdio

What is the Youtube Vision MCP MCP server?

Most developer tooling work still happens through a UI a human drives. Youtube Vision MCP MCP server moves it into the conversation instead. MCP server using Gemini Vision API to interact with YouTube videos.

The short version

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

  • Analyzes YouTube videos using the Gemini Vision API
  • Provides multiple tools for different interactions:
  • General description or Q&A (ask_about_youtube_video)
  • Summarization (summarize_youtube_video)
  • Key moment extraction (extract_key_moments)
  • Lists available Gemini models supporting generateContent

Getting it running

The server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What it needs from you

Configuration is passed through the environment: GEMINI_API_KEY, GEMINI_MODEL_NAME, YOUR_GEMINI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Before using this server, ensure you have the following: * Node.js: Version 18 or higher recommended. You can download it from nodejs.org. * Google Gemini API Key: Obtain your API key from Google AI Studio or Google Cloud Console.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by minbang930; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the Youtube Vision MCP MCP server

{
  "mcpServers": {
    "youtube-vision": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"],
      "env": {
        "GEMINI_API_KEY": "your-value",
        "GEMINI_MODEL_NAME": "your-value",
        "YOUR_GEMINI_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Before using this server, ensure you have the following: * Node.js: Version 18 or higher recommended. You can download it from nodejs.org. * Google Gemini API Key: Obtain your API key from Google AI Studio or Google Cloud Console.

VariableDescriptionRequired
GEMINI_API_KEYCredential the server authenticates with.Yes
GEMINI_MODEL_NAMEConfiguration value read at startup.Optional
YOUR_GEMINI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

It connects Youtube Vision MCP to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Youtube Vision MCP directly.