A command-line tool to summarize YouTube videos using AI.
A command-line tool to summarize YouTube videos using AI. The content mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 1 defined tool rather than through you.
Summarize YouTube videos in seconds using AI (Google Gemini or Ollama).
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverYou will need one environment variable: YOUTUBE_URL. 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.
winget install ffmpeg - Linux: sudo apt install ffmpeg - macOS: brew install ffmpegThe server ships on PyPI as content-summarizer, 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.
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. Content's toolset — Prerequisites — is a fair guide to whether it matches your workflow.
This entry was verified against Content's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
{
"mcpServers": {
"content-summarizer-1": {
"command": "uvx",
"args": ["content-summarizer"],
"env": {
"YOUTUBE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
winget install ffmpeg - Linux: sudo apt install ffmpeg - macOS: brew install ffmpeg| Variable | Description | Required |
|---|---|---|
| YOUTUBE_URL | Endpoint or connection string the server talks to. | Yes |
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