Yutu MCP Server

The AI-powered toolkit that grows your YouTube channel on autopilot

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What is the Yutu MCP server?

Yutu MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. The AI-powered toolkit that grows your YouTube channel on autopilot.

What you get

yutu is a CLI, MCP server, and AI agent for YouTube that automates your entire YouTube workflow — from uploading and optimizing videos to managing comments, playlists, and channel branding — so you can get more views, higher click-through rates, and stronger audience engagement with less manual effort. 中文文档

Configuration and credentials

You will need 8 environment variables: YUTU_CREDENTIAL, YUTU_CACHE_TOKEN, YUTU_ADVANCED_MODEL, YUTU_LITE_MODEL, YUTU_LLM_API_KEY, GOOGLE_GEMINI_BASE_URL, YUTU_AGENT_INSTRUCTION, YOUR_CLIENT_ID. 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.

An account on Google Cloud Platform is required. Set up the following: 1. Create a GCP Project and enable these APIs under APIs & Services -> Enable APIs and services: - YouTube Data API v3 (Required) - [YouTube Analytics

Setting it up

Installation goes through your MCP client rather than a global install: point it at skills 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.

Choosing this one

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 eat-pray-ai; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Yutu's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Before you rely on it

  • 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.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the yutu mcp server does with a few real requests.

How to install the Yutu MCP server

{
  "mcpServers": {
    "yutu": {
      "command": "npx",
      "args": ["-y", "skills"],
      "env": {
        "YUTU_CREDENTIAL": "your-value",
        "YUTU_CACHE_TOKEN": "your-value",
        "YUTU_ADVANCED_MODEL": "your-value",
        "YUTU_LITE_MODEL": "your-value",
        "YUTU_LLM_API_KEY": "your-value",
        "GOOGLE_GEMINI_BASE_URL": "your-value",
        "YUTU_AGENT_INSTRUCTION": "your-value",
        "YOUR_CLIENT_ID": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

An account on Google Cloud Platform is required. Set up the following: 1. Create a GCP Project and enable these APIs under APIs & Services -> Enable APIs and services: - YouTube Data API v3 (Required) - [YouTube Analytics

VariableDescriptionRequired
YUTU_CREDENTIALConfiguration value read at startup.Optional
YUTU_CACHE_TOKENCredential the server authenticates with.Yes
YUTU_ADVANCED_MODELConfiguration value read at startup.Optional
YUTU_LITE_MODELConfiguration value read at startup.Optional
YUTU_LLM_API_KEYCredential the server authenticates with.Yes
GOOGLE_GEMINI_BASE_URLEndpoint or connection string the server talks to.Yes
YUTU_AGENT_INSTRUCTIONConfiguration value read at startup.Optional
YOUR_CLIENT_IDConfiguration value read at startup.Optional

Frequently asked questions

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