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MCP Server

container-use

by dagger4kGoUpdated 2026-08-17

Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.

Claude CodeCursorVSCodeGoose

Container-use is an MCP server that provisions isolated containerized development environments for AI coding agents. Built by Dagger, it enables multiple agents to work simultaneously in separate containers and git branches without conflicts or interference. Developers can monitor agent activity in real-time, intervene when needed, and manage each agent's workspace using standard git operations. The server works with any MCP-compatible client including Claude Code, Cursor, and VSCode extensions.

Key Features

Isolated container environments with dedicated git branches for each agent session
Parallel agent execution without workspace conflicts or interference
Real-time command history and log visibility for all agent operations
Direct terminal access to inspect state and take manual control of any agent
Git-based workflow for reviewing and managing agent work across branches
Universal compatibility with any MCP-compatible agent or client
Powered by Dagger for reliable containerization
Safe experimentation with instant discard of failed attempts

Use Cases

  • 01Running multiple coding agents simultaneously on different features or experiments
  • 02Safely testing AI-generated code changes in isolated environments before merging
  • 03Debugging agent behavior by inspecting complete command history and logs
  • 04Prototyping with different tech stacks without polluting the main workspace
  • 05Training or evaluating coding agents with reproducible containerized setups
  • 06Collaborating with AI assistants on multiple parallel tasks without conflicts

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container-use — FAQ

What is container-use MCP server?+

Container-use is an MCP server that creates isolated containerized development environments for AI coding agents. It allows multiple agents to work in parallel using separate containers and git branches, preventing conflicts and enabling safe experimentation.

How do I install container-use?+

On macOS, use Homebrew: brew install dagger/tap/container-use. For all platforms, run the installation script: curl -fsSL https://raw.githubusercontent.com/dagger/container-use/main/install.sh | bash. Then add it as an MCP server to your AI client.

Which AI clients work with container-use?+

Container-use works with any MCP-compatible client including Claude Code, Cursor, Goose, and VSCode extensions. Setup is consistent across clients: add 'container-use stdio' as an MCP server in your client's configuration.

Does container-use require API keys or prerequisites?+

Container-use requires Dagger to be installed (handled automatically via the installation script). No API keys are needed. You'll need git for branch-based workspace management and a repository where you want agents to work.

Is container-use free to use?+

Yes, container-use is open-source software released under the Apache 2.0 license and free to use. The project is actively developed by Dagger and currently in early experimental stages.

Can I see what agents are doing in their containers?+

Yes, container-use provides real-time visibility into complete command history and logs of all agent operations. You can also drop into any agent's terminal directly to inspect their state or take manual control when needed.

How do I install container-use?+

Open the source repository on GitHub and follow its README. container-use is a mcp server — MCP Agents Market links you directly to the official repo.

Is container-use free?+

container-use is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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