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Code execution · MCP server

Container use: MCP server, setup and security

Container use is an open-source MCP server published on GitHub that lets an AI agent code in a fresh container and git branch with terminal access. Its repository has 4,079 stars and its last commit is from September 21, 2026 and it is licensed under Apache-2.0.

Actively maintainedSystem accessTop 10% by stars

What Container use does

According to its repository: “Containerized environments for coding agents: each agent works in its own fresh container and git branch, with execution history and terminal access.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Container use is listed under Code execution, a category of 32 servers in the directory, where it ranks #1 by stars.

Installing and connecting Container use

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Go. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for Container use:

  • System access: the Code execution category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 23, 2025, the dagger/container-use repository has 4,079 stars and 212 forks, with 47 open issues. It has more stars than 97% of the servers in the directory. Last change 1 month ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Container useContainer use : 4.1K4.1KMATLAB MCP ServerMATLAB MCP Server : 1.7K1.7KLLM SandboxLLM Sandbox : 1.1K1.1KTidewave PhoenixTidewave Phoenix : 858858Tidewave RailsTidewave Rails : 476476SuperserveSuperserve : 466466IPhone UseIPhone Use : 345345OrcaReplayOrcaReplay : 281281
GitHub stars of the most followed servers in the category (log scale); Container use in orange. Checked October 25, 2026.

Verdict

Container use is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 4.1K stars
  • Permissive licence (Apache-2.0)

Limitations

  • Install from source

Avoid if…

  • You cannot isolate the agent (sandbox, container)

Frequently asked questions

How do I install Container use?

No package is declared in the MCP registry: clone the dagger/container-use repository, follow its README, then declare the start command in your client's MCP configuration.

Is Container use free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Container use safe?

Points to watch: system access. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by dagger on GitHub. Check who maintains it before giving it access.

What are the alternatives to Container use?

In the same category: LLM Sandbox, Tidewave Phoenix, Superserve, and OrcaReplay.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score