yutu

Name: yutu
Author: eat-pray-ai

by eat-pray-aiversion 0.11.0i★ –iRuns on your computer

Registry nameio.github.eat-pray-ai/yutu

Install

Overview

Description from the maker (original English)

CLI, MCP server, and AI agent to automate YouTube workflows

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 179/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio, Streamable HTTP
Category: Marketing & social media
You need to fill in: YUTU_CREDENTIAL, YUTU_CACHE_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: YUTU_CREDENTIAL, YUTU_CACHE_TOKEN, YUTU_LOG_LEVEL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "yutu": {
      "command": "npx",
      "args": [
        "-y",
        "@eat-pray-ai/yutu",
        "mcp",
        "--mode",
        "stdio"
      ],
      "env": {
        "YUTU_CREDENTIAL": "your-value",
        "YUTU_CACHE_TOKEN": "your-value",
        "YUTU_LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add yutu --env YUTU_CREDENTIAL=your-value --env YUTU_CACHE_TOKEN=your-value --env YUTU_LOG_LEVEL=your-value -- npx -y @eat-pray-ai/yutu mcp --mode stdio

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "yutu": {
      "command": "npx",
      "args": [
        "-y",
        "@eat-pray-ai/yutu",
        "mcp",
        "--mode",
        "stdio"
      ],
      "env": {
        "YUTU_CREDENTIAL": "your-value",
        "YUTU_CACHE_TOKEN": "your-value",
        "YUTU_LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "yutu": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@eat-pray-ai/yutu",
        "mcp",
        "--mode",
        "stdio"
      ],
      "env": {
        "YUTU_CREDENTIAL": "your-value",
        "YUTU_CACHE_TOKEN": "your-value",
        "YUTU_LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

YUTU_CREDENTIAL secret required env
GCP project credential for yutu, Base64 encoded JSON or path to JSON file
YUTU_CACHE_TOKEN secret required env
YouTube authentication token, Base64 encoded JSON or path to JSON file
YUTU_LOG_LEVEL env
Log level

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account eat-pray-ai, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 3631 servers in this category
Published to the registry more recently than 56% of the other 3631 servers in this category
Basic checks equal to or better than 100% of the other 3631 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is yutu safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: YUTU_CREDENTIAL, YUTU_CACHE_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.11.0) reached the registry 24 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

MCP YouTube Transcript

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BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

by JimmyLvGrowing★ 137Updated 12 days ago

Runs in the cloud✓ bibigpt.co

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

`yutu`

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

Prerequisites
Installation
Agent
MCP Server
Skills
Usage
Features
Sponsor
Contributing

Prerequisites

An account on Google Cloud Platform is required. Set up the following:

Create a GCP Project and enable these APIs under APIs & Services -> Enable APIs and services:

Create OAuth credentials:

Go to APIs & Services -> OAuth consent screen, create a consent screen with yourself as a test user
Go to Credentials -> Create Credentials -> OAuth Client ID, select Desktop app
Download the credential file and save it as client_secret.json, it should look like

"installed": { "client_id": "11181119.apps.googleusercontent.com", "project_id": "yutu-11181119", "auth_uri": "https://accounts.google.com/o/oauth2/auth", "token_uri": "https://oauth2.googleapis.com/token", "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs", "client_secret": "XXXXXXXXXXXXXXXX", "redirect_uris": [ "http://localhost" ] } }

Authenticate:

   yutu auth --credential client_secret.json

A browser window will open for you to grant YouTube access. After granting permission, a token is saved to youtube.token.json.

"access_token": "ya29.XXXXXXXXX", "token_type": "Bearer", "refresh_token": "1//XXXXXXXXXX", "expiry": "2024-05-26T18:49:56.1911165+08:00", "expires_in": 3599 }

By default, yutu will read client_secret.json and youtube.token.json from the current directory, --credential/-c and --cacheToken/-t flags are available only in auth subcommand. To modify the default path in all subcommands, set these environment variables.

Global Environment Variables

Variable	Description	Default
`YUTU_CREDENTIAL`	Path, Base64, or JSON of OAuth client secret	`client_secret.json`
`YUTU_CACHE_TOKEN`	Path, Base64, or JSON of cached OAuth token	`youtube.token.json`
`YUTU_ROOT`	Root directory for file resolution	Current working directory
`YUTU_LOG_LEVEL`	Log level: `DEBUG`, `INFO`, `WARN`, `ERROR`	`INFO`

Installation

If you're using an AI agent, copy and paste the following prompt to finish the installation:

Install and configure yutu by following https://raw.githubusercontent.com/eat-pray-ai/yutu/main/internal/tools/skillgen/setup.md

You can download yutu from releases page directly, or use the following methods as you prefer.

GitHub Actions

There are two actions available for yutu, one is for general purpose and the other is for uploading video to YouTube. Refer to youtube-action and youtube-uploader for more information.

Node.js

❯ npm i -g @eat-pray-ai/yutu

Docker

# GitHub Container Registry (GHCR)

❯ docker pull ghcr.io/eat-pray-ai/yutu:latest

or Docker Hub

❯ docker pull eatprayai/yutu:latest

❯ docker run --rm ghcr.io/eat-pray-ai/yutu:latest

make sure client_secret.json is in the current directory

❯ docker run --rm -it -u $(id -u):$(id -g) -v $(pwd):/app -p 8216:8216 ghcr.io/eat-pray-ai/yutu:latest

Gopher

❯ go install github.com/eat-pray-ai/yutu@latest

Linux

❯ curl -sSfL https://raw.githubusercontent.com/eat-pray-ai/yutu/main/scripts/install.sh | bash

macOS

Install yutu using Homebrew🍺(recommended), or run the shell script.

❯ brew install yutu

or

❯ curl -sSfL https://raw.githubusercontent.com/eat-pray-ai/yutu/main/scripts/install.sh | bash

Windows

❯ winget install yutu

Verifying Installation

Verify the integrity and provenance of yutu using its associated cryptographically signed attestations.

# Docker

❯ gh attestation verify oci://ghcr.io/eat-pray-ai/yutu:latest --repo eat-pray-ai/yutu ❯ gh attestation verify oci://docker.io/eatprayai/yutu:latest --repo eat-pray-ai/yutu

Linux and macOS(if installed using shell script)

❯ gh attestation verify $(which yutu) --repo eat-pray-ai/yutu

Windows

❯ gh attestation verify $(where.exe yutu.exe) --repo eat-pray-ai/yutu

Agent

yutu provides an agent mode (Miffy) to automate YouTube workflows. The agent can retrieve, create, update, and delete YouTube content, with built-in YouTube growth strategy and SEO expertise.

# Gemini(compatible) (default)

❯ yutu agent --provider google --model gemini-3.8-flash --api-key "YOUR_KEY" ❯ yutu agent --provider google --model gemini-3.8-flash --api-key "YOUR_KEY" --base-url "https://custom.endpoint.com/"

OpenAI(compatible) (OpenAI, DeepSeek, Ollama, vLLM, etc.)

❯ yutu agent --provider openai --model gpt-5.6-terra --api-key "YOUR_KEY" ❯ yutu agent --provider openai --model deepseek-flash --api-key "YOUR_KEY" --base-url "https://api.deepseek.com/"

web mode with sub-launchers

❯ yutu agent --args "web api a2a webui" --api-key "YOUR_KEY"

show available launcher args

❯ yutu agent --args ""

Agent Flags

Flag	Description	Default
`-a, --args`	Launcher arguments as a single string	`console`
`-p, --provider`	LLM provider: `google` for Gemini(compatible), `openai` for OpenAI(compatible)	`google`
`-m, --model`	Model name	`gemini-3.8-flash`
`--api-key`	API key for the model provider
`--base-url`	Base URL for the model provider's API endpoint
`-i, --instruction`	Override the built-in agent instruction	INSTRUCTION.md

MCP Server

Before using yutu as an MCP server, make sure yutu is installed(see Installation section), and you have a valid client_secret.json and youtube.token.json files(refer to Prerequisites section).

You can configure yutu as an MCP server for your preferred tool using the instructions below.

Claude Code

# Stdio mode

❯ claude mcp add --env YUTU_CREDENTIAL=/absolute/path/to/client_secret.json \ --env YUTU_CACHE_TOKEN=/absolute/path/to/youtube.token.json \ yutu -- yutu mcp

HTTP mode (start the server first: yutu mcp --mode http)

❯ claude mcp add --transport http \ --client-id YOUR_CLIENT_ID.apps.googleusercontent.com \ --client-secret \ yutu http://localhost:8216/mcp

Codex

# Stdio mode

❯ codex mcp add --env YUTU_CREDENTIAL=/absolute/path/to/client_secret.json \ --env YUTU_CACHE_TOKEN=/absolute/path/to/youtube.token.json \ yutu -- yutu mcp

HTTP mode (start the server first: yutu mcp --mode http)

❯ codex mcp add --url http://localhost:8216/mcp \ --oauth-client-id YOUR_CLIENT_ID.apps.googleusercontent.com \ yutu

Manual Configuration (VS Code, Cursor, OpenCode, etc.)

Add the following to your MCP settings. Remember to repl

Only the beginning is shown; read the rest in the repo

yutu

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

yutu

Table of Contents

Prerequisites

Global Environment Variables

Installation

or Docker Hub

make sure client_secret.json is in the current directory

or

Linux and macOS(if installed using shell script)

Windows

Agent

OpenAI(compatible) (OpenAI, DeepSeek, Ollama, vLLM, etc.)

web mode with sub-launchers

show available launcher args

Agent Flags

MCP Server

HTTP mode (start the server first: yutu mcp --mode http)

HTTP mode (start the server first: yutu mcp --mode http)

`yutu`