Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
YouTube MCP server exists for a simple reason — assistants are far more useful when they can act on YouTube directly instead of describing what you should do. Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
A Model Context Protocol (MCP) server for YouTube video analysis, providing tools to get transcripts, summarize content, and query videos using Gemini AI.
You will need 2 environment variables: GEMINI_API_KEY, YOUTUBE_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by Prajwal-ak-0; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"youtube-5": {
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"GEMINI_API_KEY": "your-value",
"YOUTUBE_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| YOUTUBE_API_KEY | Credential the server authenticates with. | Yes |
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