Sandbox Env MCP

Name: Sandbox Env MCP
Author: hs3434

by hs3434version 0.3.1i★ –iRuns on your computer

Registry nameio.github.hs3434/sandbox-env-mcp

Install

Overview

Description from the maker (original English)

Persistent Docker/SSH sandbox for AI agents: shell exec, file ops, audit log.

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
UsageiNot measured yet★ –

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
Category: Developer tools

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).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx 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": {
    "sandbox-env": {
      "command": "uvx",
      "args": [
        "sandbox-env-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sandbox-env -- uvx sandbox-env-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sandbox-env": {
      "command": "uvx",
      "args": [
        "sandbox-env-mcp"
      ]
    }
  }
}

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": {
    "sandbox-env": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sandbox-env-mcp"
      ]
    }
  }
}

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.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account hs3434, 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 Developer toolsi

More stars than 0% of the other 4917 servers in this category
Published to the registry more recently than 29% of the other 4917 servers in this category
Basic checks equal to or better than 100% of the other 4917 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 Sandbox Env MCP 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.3.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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Install

Desktop Commander

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Cloudflare MCP

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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.

sandbox-mcp

MCP server that gives AI agents a real working environment: persistent shells, a filesystem, and multi-machine management — backed by Docker containers or remote SSH hosts.

Features

Persistent shells — stateful bash or PowerShell sessions that survive across tool calls. Set env vars, activate venvs, change directories, and they stay.
Multi-machine — manage several Docker containers and SSH hosts simultaneously. Each has its own isolated workspace and shell pool.
Full filesystem access — read, write, patch, and search files on any target machine. All writes are atomic (temp-file + rename).
Zero-config startup — creates a default Docker container automatically on first run. One command, ready to go.
Progressive discovery — env tool exposes capabilities step by step. Agents call env(action="help") to see what's available.
Docker lifecycle — create, stop, start, restart, remove containers. Build images, inspect configs, commit state, view logs.
SSH remote access — connect to Linux and Windows machines over SSH. Windows targets get automatic code-page probing.
Safety net — sensitive-path warnings (.ssh, .aws, .env*) without blocking access. Pre-write syntax lint for JSON/YAML/TOML.
Audit trail — every tool call is logged with timestamps, parameters, and outcomes. Queryable from within the agent session.

Quick start

pip install sandbox-env-mcp

stdio — for Claude Desktop, Cline, Continue

sandbox-mcp

HTTP — for remote agents

sandbox-mcp-http

On first run a default container (python:3.14-slim, named admin) starts automatically with a persistent bash shell. No other setup.

Requirements: Python 3.12+, Docker SDK, running Docker daemon. SSH mode needs openssh-client.

Tools

All tools target the default machine unless an explicit machine parameter is passed.

Tool	What it does
`shell_exec`	Run a command in a persistent shell. Blocks until the command finishes (`wait=true`, 10 s timeout) or fire-and-forget with `wait=false`.
`shell_read`	Read buffered output from a running or finished command.
`shell_new`	Create a fresh shell on a machine. Returns a `shell_id`.
`shell_remove`	Terminate and remove a shell by `shell_id`.
`shell_list`	List all shells with state, machine, uptime, last command.
`write_stdin`	Write raw bytes to a running shell — interrupt with Ctrl-C (`\x03`) or feed input to interactive programs like `read` / `Read-Host`. On Windows/PowerShell, Ctrl-C is unsupported (pipe mode has no terminal driver); kill the shell instead.
`machine_list`	List all registered machines with backend, status, purpose, shell count.
`default_set`	Set the default machine or default shell for a machine.
`file_read`	Read a file with line numbers. Supports offset + limit pagination.
`file_write`	Write content atomically. Creates parent directories automatically.
`file_patch`	Targeted edits with fuzzy matching. `mode=replace` (find-and-replace) or `mode=patch` (unified diff).
`file_search`	Search file contents (ripgrep) or find files (glob). Sorted by modification time.
`env`	Progressive-discovery portal. Start with `env(action="help")`.

audit_query is exposed when the audit log is a SQLite database — it lets the agent search historical tool calls.

Shell states

Every shell is in one of four states:

State	What it means	What the agent can do
`init`	Shell just created; booting up. Times out → `terminated` at 10 s.	Wait — `shell_exec` returns an error until ready.
`ready`	At a prompt, accepting commands.	Send commands, read output, write stdin.
`waiting`	A command is running.	Poll output with `shell_read`. Send Ctrl-C with `write_stdin`.
`terminated`	Shell process exited (signal, exit, timeout, broken pipe). Last output is preserved.	Read remaining output, then `shell_remove` + `shell_new` to continue. Default shells are never auto-replaced.

Key shell_exec parameters:

wait (default true): block until the command completes.
timeout (default 10 s): on expiry returns status="waiting" with a hint to switch to wait=false + shell_read for long-running commands.
max_output (default 50000 bytes): caps returned output; excess is shown as the tail (last N bytes).

env actions

env(action="help") lists what's available. env(action="help", topic=" ") returns full docs for a specific action.

Always available

Action	Params	Description
`help`	`topic?`	List actions or get docs for one.
`status`	—	Default machine, machines, shells.
`list_targets`	—	Pre-defined SSH targets from config.
`machine_list`	—	Registered machines.
`shell_list`	`machine?`	Shells, optionally filtered.
`shell_new`	`machine?`, `purpose?`	New shell session.
`shell_remove`	`shell_id`	Terminate and remove.
`default_set`	`machine` or `shell_id`	Set default machine or shell.

Docker

Action	Required params	Description
`docker_run`	`name`, `image`, `purpose`	Create/start container. Reattaches on name collision.
`docker_ps`	—	List managed containers.
`docker_images`	—	List all images on daemon.
`docker_image_history`	`image`	Layer-by-layer build history.
`docker_build`	`image_tag`, `machine`	Build from a Dockerfile in `/workspace`.
`docker_commit`	`machine`, `image_tag`	Commit container as new image.
`docker_stop`	`machine`	Stop (state preserved).
`docker_start`	`machine`	Start a stopped container.
`docker_remove`	`machine`	Stop + remove container and its shells.
`docker_inspect`	`machine`	Curated config. `kind=image` for images.
`docker_logs`	`machine`	Logs with `tail`, `since`, `until`.
`docker_diff`	`machine`	Filesystem changes vs image.
`docker_stats`	`machine`	CPU/memory/network/IO snapshot.
`docker_restart`	`machine`	Stop + start + verify.

SSH

Action	Required params	Description
`connect`	`name`	Connect to a configured target.
`close`	`name`	Disconnect and unregister.

Available when [ssh.targets] is configured.

File operations

Tool	Key params	Highlights
`file_read`	`path`, `offset`, `limit`	Line-numbered. Rejects files > 50 KB with a hint.
`file_write`	`path`, `content`	Atomic (temp + rename), auto-creates parent dirs, post-write verification.
`file_patch`	`path`, `old_string`, `new_string` (replace mode) or `patch` (unified diff)	Fuzzy matching. Preserves BOM and line endings.
`file_search`	`pattern`, `search_type`, `path`, `file_glob`, `limit`	Powered by ripgrep. Results sorted by modification time.

Safety warnings are surfaced for sensitive paths (.ssh, .aws, .env*, /etc/shadow, etc.) — advisory only, agents still have full access. Writes to .json, .yaml, .yml, .toml are syntax-checked before writing (fail-closed).

Configuration

Config lives at ~/.sandbox-mcp/config.toml (copy config/config.example.toml). Every field can be overridden with SANDBOX_MCP_ _ env vars.

[server]

port = 8010 auth_tokens_file = "~/.sandbox-mcp/auth_tokens"

[storage] work_home = "/var/lib/sandbox-mcp"

[docker] default_image = "python:3.14-slim" auto_network = "sandbox-mcp" # "" = none admin_machine = "admin" # "" = no /host mount host = "" # "" = from Docker environment

[ssh] connect_timeout = 10 [ssh.targets.win-build] host = "192.168.1.100" user = "builder" os_type = "windows"

[default_machine] enabled = true backend = "docker" name = "admin"

[shell] default_max_output = 50000

[files] max_file_size = 51200

Backends

Docker

Containers get bind mounts for workspace isolation:

work_home/ / → /workspace (rw)
work_home/ / → /share/ (ro, shared across peers)
work_home/ / / → /share/ / (rw overlay)

When a container's name matches admin_machine, it also gets work_home/ → /host (rw) — a global view of all workspaces.

Server startup auto-reconciles with the Docker daemon: surviving containers are re-adopted into the registry.

SSH

Connects over SSH with ControlMaster for connection reuse. Windows targets get automatic code-page probing and encoded-command execution.

Deployment

# docker-compose.yml

services: sandbox-mcp: image: ghcr.io/hs3434/sandbox-env-mcp:latest network_mode: host volumes:

/var/run/docker.sock:/var/run/docker.sock
/var/lib/sandbox-mcp:/var/lib/sandbox-mcp
./config:/root/.sandbox-mcp

HTTP mode reads bearer tokens from auth_tokens_file (hot-reload on every request). If the file is empty or missing and auto_generate_if_empty=true, a random token is printed to stderr at startup.

Audit

Every tool call is recorded: timestamp, machine, action, status, duration, and hashed parameters. Defaults to SQLite at ~/.sandbox-mcp/audit.db. Set log_path="" for JSON-line stderr output instead.

Sandbox Env MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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 Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

sandbox-mcp

Features

Quick start

stdio — for Claude Desktop, Cline, Continue

HTTP — for remote agents

Tools

Shell states

env actions

Always available

Docker

SSH

File operations

Configuration

Backends

Docker

SSH

Deployment

Audit