An MCP server providing containerized development environments for coding agents to work safely and independently.
Container Use is an open-source MCP server that provides isolated container environments for AI coding agents. It enables developers to run multiple agents in parallel without conflicts, transforming the experience from managing single agents to orchestrating teams of autonomous coding assistants.
Developers using MCP-compatible AI coding agents like Claude Code, Cursor, or Goose who need to run multiple agents simultaneously or require safe, observable environments for agent experimentation.
Developers choose Container Use for its ability to provide isolated, containerized environments per agent, enabling parallel execution without conflicts, along with real-time visibility into agent actions and direct intervention capabilities, all without vendor lock-in.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
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Each agent runs in a fresh container with its own git branch, enabling safe parallel execution and instant cleanup of failed attempts.
Provides complete logs and command history, allowing developers to see exactly what agents executed, not just their summaries.
Enables dropping into any agent's terminal to inspect state and take control when agents encounter issues.
Uses standard git commands like `git checkout` to manage agent work, integrating seamlessly with existing developer workflows.
Works with any MCP-compatible agent, model, or infrastructure, avoiding vendor lock-in and supporting diverse setups.
The project is in early development with an experimental badge, meaning it may have bugs, incomplete features, or breaking changes, as noted in the README.
Running multiple containers for agents can consume significant CPU, memory, and disk resources, which may not be feasible on resource-constrained systems.
Only supports MCP-compatible agents, limiting its use with other AI tools that don't adhere to the MCP standard, as highlighted in the documentation.