Container Use MCP: Open-Source Tool for Containerized Coding Agent Env, Multi-Agent Dev 解释：核心关键词为“Container Use MCP”和“容器化环境”（这里用“Containerized Env”表达），标题以动词开头，简洁地说明了该开源工具的用途和优势，长度也在要求范围内。

Container Use

Container Use is an open-source tool that provides a containerized isolated environment for coding agents, supporting parallel development of multiple agents without interference.

Developer tools Virtualization #Container development #Coding agent #Isolated environment #MCP service .Go

rating : 5 points

downloads : 9

update time : 2025-07-23

What is Container Use?

Container Use is an MCP server based on container technology that allows code agents to work in independent environments. Each agent has its own container and Git branch, ensuring that the work does not interfere with each other.

How to use Container Use?

Simply add Container Use as an MCP server, and the agents can run in isolated containers. You can start, view, and manage the agents' work through simple commands.

Applicable scenarios

Suitable for development environments that require multiple agents to work simultaneously, such as AI-assisted programming, automated testing, continuous integration, etc.

Main features

Isolated environmentEach agent runs in an independent container, avoiding conflicts and contamination.

Real-time logsYou can view the commands and operation records executed by the agent in real-time.

Direct interventionYou can enter the agent's terminal at any time for debugging or control.

Version controlThe work of all agents can be managed through Git branches.

Strong compatibilitySupports any MCP-compatible agents, such as Claude Code, Cursor, etc.

Advantages and limitations

Advantages

Improve security and prevent mutual influence between agents

Facilitate the management and tracing of the agents' operation history

Support parallel work of multiple agents and improve efficiency

Limitations

It has certain requirements for system resources

It requires a certain ability of configuration and management

It may require a certain learning cost for novice users

How to use

Install Container Use

You can quickly install Container Use through the brew or curl command.

Set up the agent

Add Container Use as an MCP server to your agent.

Start using

Let the agent start working through simple prompts, and view the generated code and results.

Usage examples

Create a Python Flask applicationLet the agent create a simple Flask application to show how to run in an isolated environment.

Run automated testsLet the agent write and run automated test scripts to verify the code functionality.

Frequently Asked Questions

Does Container Use support all agents?

How to view the working status of the agent?

Does Container Use require payment?

How to get help?

Related resources

Official documentation

Complete usage guide and API documentation

GitHub repository

Source code and contribution guide

Discord community

Community for communication and getting help

🚀 container-use

Container Use enables coding agents to operate in parallel environments without causing interference. Transition from managing one agent at a time to allowing multiple agents to work safely and independently with your preferred stack. Check out the full documentation.

🚀 Quick Start

📦 Installation

# macOS (recommended)
brew install dagger/tap/container-use

# All platforms
curl -fsSL https://raw.githubusercontent.com/dagger/container-use/main/install.sh | bash

💻 Setup with Your Agent

Container Use is compatible with any MCP-compatible agent. The setup process is consistent: add container-use stdio as an MCP server.

👉 Complete setup guide for all agents (Cursor, Goose, VSCode, etc.)

Example with Claude Code:

# Add Container Use MCP server
cd /path/to/repository
claude mcp add container-use -- container-use stdio

# Add agent rules (optional)
curl https://raw.githubusercontent.com/dagger/container-use/main/rules/agent.md >> CLAUDE.md

💡 Command Shortcut

For convenience, the container-use command can also be used as cu. Both commands function the same way:

container-use stdio (used in documentation)
cu stdio (shortcut)

🧪 Try It

Ask your agent to create something:

Create a hello world app in python using flask

Your agent will work in an isolated environment and provide you with URLs to view the app and explore the code!

✨ Features

📦 Isolated Environments: Each agent gets a fresh container in its own git branch - run multiple agents without conflicts, experiment safely, discard failures instantly.
👀 Real-time Visibility: See complete command history and logs of what agents actually did, not just what they claim.
🚁 Direct Intervention: Drop into any agent's terminal to see their state and take control when they get stuck.
🎮 Environment Control: Standard git workflow - just git checkout <branch_name> to review any agent's work.
🌎 Universal Compatibility: Works with any agent, model, or infrastructure - no vendor lock-in.

⚠️ Important Note

This project is in early development and actively evolving. Submit issues and/or reach out to us on Discord in the #container-use channel.

It's an open-source MCP server that works as a CLI tool with Claude Code, Cursor, and other MCP-compatible agents. Powered by Dagger.