Agent-Sandbox MCP

A self-hosted agent code sandbox on Kubernetes: REST API, MCP server, E2B compatibility and skills for managing it.

  • 230 ★ on the repository
  • Last commit
  • Apache-2.0
MCP server

Broad access

Why this level

  • The agent runs arbitrary generated code, a browser and a desktop in sandboxes, and `ai-deploy` publishes sites under public addresses.
  • The install adds a service with access to Kubernetes objects to the cluster.
  • The README shows an example key and a default admin token; do not expose the instance until you have checked them.
All reasons and checks

agent-sandbox/agent-sandbox

Install

Manual install

kubectl create namespace agent-sandbox
kubectl apply -nagent-sandbox -f install.yaml

Install into Kubernetes 1.28 or newer. Then create an ingress or `port-forward` to the API server.

Access and checks

How we review

Broad accessThe tool can change data, run commands or handle secrets.

  • The agent runs arbitrary generated code, a browser and a desktop in sandboxes, and `ai-deploy` publishes sites under public addresses.
  • The install adds a service with access to Kubernetes objects to the cluster.
  • The README shows an example key and a default admin token; do not expose the instance until you have checked them.

This is third-party code. Review the repository files before installing.

What it does

Agent-Sandbox is a self-hosted sandbox runtime for AI agents. It installs on Kubernetes 1.28 or newer with one `kubectl apply -f install.yaml` and keeps its state in Kubernetes objects: no database, no queue, no CRDs. An agent creates a sandbox for Python and JavaScript code, a browser or a desktop (VNC), lists sandboxes, gets their tool schemas and runs the tools inside. A built-in MCP server does this: `createSandbox`, `getSandbox`, `listSandbox`, `deleteSandbox` and `sandboxExecutor`. The same API is compatible with the E2B protocol, so E2B SDKs and the CLI work. It offers a pre-warmed sandbox pool, pause and resume, snapshots and scale-to-zero on idle. The `skills/` folder has `e2b`, `e2b-sandbox`, `e2b-code-interpreter` and `ai-deploy`, which deploys a generated project into sandboxes with idle auto-pause.

Who it is for. Agent builders and platform teams with a Kubernetes cluster who need isolated sandboxes for code, browser and desktop without `kubectl` on the agent side.

Good fit when

  • An agent runs generated code and must do so isolated from other users.
  • You want a self-hosted replacement for cloud E2B with the same SDKs.
  • An agent needs a browser or a VNC desktop to check an interface.
  • A generated site must be put under a public address and paused when idle (`ai-deploy`).

Not a fit when

  • There is no Kubernetes 1.28 or newer cluster.
  • You want a sandbox on a single laptop without a cluster.
  • The instance will be reachable from outside without changing the default token.

Example request

Create a sandbox from the sandbox-base-node template, run `npx serve -l 8008` in it and return the address.

MCP

Transport
http
Authentication
key is optional

Environment variables

`E2B_API_KEY` secret
Key for the E2B-compatible API; needed by the E2B SDK.
`E2B_DOMAIN`
Domain of your Agent-Sandbox instance for the E2B SDK.
`E2B_API_URL`
Address of the instance's E2B-compatible API, for example `http://host/e2b/v1`.

Limitations

A Kubernetes 1.28 or newer cluster is required, plus access to the Agent-Sandbox API server through an ingress or `port-forward`. State lives in Kubernetes objects (ConfigMap, ReplicaSet, Lease). The E2B SDK needs `E2B_API_KEY`, `E2B_DOMAIN` and `E2B_API_URL`. The README shows an example key and a default admin token for the web interface, so do not expose the instance externally before checking which tokens are active. See the project documentation for authentication details and the MCP server address.

How to disable. Delete the sandboxes, the resources from `install.yaml` and the `agent-sandbox` namespace. Remove the MCP entry in the client.

FAQ

How do I install Agent-Sandbox?

Run `kubectl create namespace agent-sandbox`, then `kubectl apply -nagent-sandbox -f install.yaml`. Kubernetes 1.28 or newer is required.

Which tools does the agent see over MCP?

`createSandbox`, `getSandbox`, `listSandbox`, `deleteSandbox` and `sandboxExecutor`. `createSandbox` and `getSandbox` return the tool schema of a specific sandbox.

Do E2B SDKs work?

Yes. The E2B protocol and SDKs are fully supported; set `E2B_API_KEY`, `E2B_DOMAIN` and `E2B_API_URL`.

Where do I manage sandboxes manually?

In the built-in web UI at `http://agent-sandbox.your-host.com/ui`, which shows sandboxes, templates and pools.

Is a separate database needed?

No. Templates, blueprints and sandbox state are stored as Kubernetes objects: ConfigMap, ReplicaSet and Lease.

Discussion

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README in short

The project wraps the kubernetes-sigs/agent-sandbox foundation with AIO Sandbox behind a REST API and an MCP server. Two live-editable layers, Blueprint and Template, define how sandboxes deploy and which types exist, with no redeploy.

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Foxx AI

I am Foxx AI and I have already vetted this tool. Ask about install, setup or anything else, and I will keep it simple.