LLM Sandbox
mcpkey · packageio.github.vndee/llm-sandbox · v0.3.43
Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
#!/usr/bin/env bash # llm-sandbox (io.github.vndee/llm-sandbox), recipe baremetal (generated). # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-llm-sandbox.service. set -euo pipefail export HOST=127.0.0.1 PORT=8101 exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx llm-sandbox==0.3.43 [Unit] Description=MCP server llm-sandbox (toolset my-agent), generated by Hub After=network-online.target Wants=network-online.target [Service] Type=simple User=mcp Group=mcp EnvironmentFile=/etc/mcp/my-agent.env Environment=HOME=/var/lib/mcp/llm-sandbox WorkingDirectory=/var/lib/mcp/llm-sandbox ExecStart=/opt/mcp/my-agent/bin/llm-sandbox.sh Restart=on-failure RestartSec=5 NoNewPrivileges=true ProtectSystem=strict ProtectHome=true PrivateTmp=true ReadWritePaths=/var/lib/mcp/llm-sandbox [Install] WantedBy=multi-user.target
generated from the record, not tested yet
docker run --rm -p 127.0.0.1:8101:8000 -e BACKEND -e DOCKER_HOST -e KUBECONFIG -e NAMESPACE -e COMMIT_CONTAINER -e KEEP_TEMPLATE -e SANDBOX_NETWORK_MODE -e SANDBOX_READ_ONLY -e SANDBOX_CAP_DROP -e SANDBOX_SECURITY_OPT -e SANDBOX_MEMORY -e SANDBOX_CPUS ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx llm-sandbox==0.3.43'
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T01:20:41+00:00).
# Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
# cp .env.example .env # fill the ${VAR}s
# docker compose up -d && bash smoke.sh
# Remote servers are not here: clients reach them directly (see clients/).
name: mcp-my-agent
services:
llm-sandbox:
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx llm-sandbox==0.3.43
ports:
- 127.0.0.1:8101:8000
volumes:
- uv-cache:/root/.cache/uv
healthcheck:
test:
- CMD
- python3
- -c
- import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
interval: 30s
timeout: 5s
retries: 5
start_period: 2m
restart: unless-stopped
environment:
BACKEND: ${BACKEND}
DOCKER_HOST: ${DOCKER_HOST}
KUBECONFIG: ${KUBECONFIG}
NAMESPACE: ${NAMESPACE}
COMMIT_CONTAINER: ${COMMIT_CONTAINER}
KEEP_TEMPLATE: ${KEEP_TEMPLATE}
SANDBOX_NETWORK_MODE: ${SANDBOX_NETWORK_MODE}
SANDBOX_READ_ONLY: ${SANDBOX_READ_ONLY}
SANDBOX_CAP_DROP: ${SANDBOX_CAP_DROP}
SANDBOX_SECURITY_OPT: ${SANDBOX_SECURITY_OPT}
SANDBOX_MEMORY: ${SANDBOX_MEMORY}
SANDBOX_CPUS: ${SANDBOX_CPUS}
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T01:20:41+00:00).
# kubectl create namespace mcp
# kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
# kubectl apply -f kubernetes.yaml
# Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
# with auth in front before exposing any of them.
apiVersion: v1
kind: Namespace
metadata:
name: mcp
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: llm-sandbox
namespace: mcp
labels: &id001
app: llm-sandbox
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: llm-sandbox
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env:
- name: BACKEND
valueFrom:
secretKeyRef:
name: mcp-credentials
key: BACKEND
- name: DOCKER_HOST
valueFrom:
secretKeyRef:
name: mcp-credentials
key: DOCKER_HOST
- name: KUBECONFIG
valueFrom:
secretKeyRef:
name: mcp-credentials
key: KUBECONFIG
- name: NAMESPACE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: NAMESPACE
- name: COMMIT_CONTAINER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: COMMIT_CONTAINER
- name: KEEP_TEMPLATE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: KEEP_TEMPLATE
- name: SANDBOX_NETWORK_MODE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_NETWORK_MODE
- name: SANDBOX_READ_ONLY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_READ_ONLY
- name: SANDBOX_CAP_DROP
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_CAP_DROP
- name: SANDBOX_SECURITY_OPT
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_SECURITY_OPT
- name: SANDBOX_MEMORY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_MEMORY
- name: SANDBOX_CPUS
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_CPUS
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx llm-sandbox==0.3.43
readinessProbe:
httpGet:
path: /status
port: http
initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
name: llm-sandbox
namespace: mcp
spec:
selector:
app: llm-sandbox
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T01:20:41+00:00).
# Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
# Each server under `servers` is one Deployment + Service; the keys after it configure
# upstream charts a worker verified.
servers:
llm-sandbox:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: llm-sandbox
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env:
- name: BACKEND
valueFrom:
secretKeyRef:
name: mcp-credentials
key: BACKEND
- name: DOCKER_HOST
valueFrom:
secretKeyRef:
name: mcp-credentials
key: DOCKER_HOST
- name: KUBECONFIG
valueFrom:
secretKeyRef:
name: mcp-credentials
key: KUBECONFIG
- name: NAMESPACE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: NAMESPACE
- name: COMMIT_CONTAINER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: COMMIT_CONTAINER
- name: KEEP_TEMPLATE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: KEEP_TEMPLATE
- name: SANDBOX_NETWORK_MODE
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_NETWORK_MODE
- name: SANDBOX_READ_ONLY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_READ_ONLY
- name: SANDBOX_CAP_DROP
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_CAP_DROP
- name: SANDBOX_SECURITY_OPT
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_SECURITY_OPT
- name: SANDBOX_MEMORY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_MEMORY
- name: SANDBOX_CPUS
valueFrom:
secretKeyRef:
name: mcp-credentials
key: SANDBOX_CPUS
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx llm-sandbox==0.3.43
readinessProbe:
httpGet:
path: /status
port: http
initialDelaySeconds: 10
# helm install my-agent helm/my-agent -n mcp
in the cloud
one click: the provider's deploy form opens filled in, in your own account- koyeb
-
The form opens with CHANGE_ME for each value you supply: BACKEND, DOCKER_HOST, KUBECONFIG, NAMESPACE, COMMIT_CONTAINER, KEEP_TEMPLATE, SANDBOX_NETWORK_MODE, SANDBOX_READ_ONLY, SANDBOX_CAP_DROP, SANDBOX_SECURITY_OPT, SANDBOX_MEMORY, SANDBOX_CPUS. Fill them in before you deploy.
Clients connect to the service's https://…koyeb.app address plus /mcp.
- azure
-
A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.
connect to it
copy what your client needsuvx llm-sandbox==0.3.43 # env: BACKEND, DOCKER_HOST, KUBECONFIG, NAMESPACE, COMMIT_CONTAINER, KEEP_TEMPLATE, SANDBOX_NETWORK_MODE, SANDBOX_READ_ONLY, SANDBOX_CAP_DROP, SANDBOX_SECURITY_OPT, SANDBOX_MEMORY, SANDBOX_CPUS
{
"mcpServers": {
"llm-sandbox": {
"command": "uvx",
"args": [
"llm-sandbox==0.3.43"
],
"env": {
"BACKEND": "${BACKEND}",
"DOCKER_HOST": "${DOCKER_HOST}",
"KUBECONFIG": "${KUBECONFIG}",
"NAMESPACE": "${NAMESPACE}",
"COMMIT_CONTAINER": "${COMMIT_CONTAINER}",
"KEEP_TEMPLATE": "${KEEP_TEMPLATE}",
"SANDBOX_NETWORK_MODE": "${SANDBOX_NETWORK_MODE}",
"SANDBOX_READ_ONLY": "${SANDBOX_READ_ONLY}",
"SANDBOX_CAP_DROP": "${SANDBOX_CAP_DROP}",
"SANDBOX_SECURITY_OPT": "${SANDBOX_SECURITY_OPT}",
"SANDBOX_MEMORY": "${SANDBOX_MEMORY}",
"SANDBOX_CPUS": "${SANDBOX_CPUS}"
}
}
}
}
#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add llm-sandbox -e "BACKEND=${BACKEND}" -e "DOCKER_HOST=${DOCKER_HOST}" -e "KUBECONFIG=${KUBECONFIG}" -e "NAMESPACE=${NAMESPACE}" -e "COMMIT_CONTAINER=${COMMIT_CONTAINER}" -e "KEEP_TEMPLATE=${KEEP_TEMPLATE}" -e "SANDBOX_NETWORK_MODE=${SANDBOX_NETWORK_MODE}" -e "SANDBOX_READ_ONLY=${SANDBOX_READ_ONLY}" -e "SANDBOX_CAP_DROP=${SANDBOX_CAP_DROP}" -e "SANDBOX_SECURITY_OPT=${SANDBOX_SECURITY_OPT}" -e "SANDBOX_MEMORY=${SANDBOX_MEMORY}" -e "SANDBOX_CPUS=${SANDBOX_CPUS}" -- uvx llm-sandbox==0.3.43
{
"mcpServers": {
"llm-sandbox": {
"command": "uvx",
"args": [
"llm-sandbox==0.3.43"
],
"env": {
"BACKEND": "${BACKEND}",
"DOCKER_HOST": "${DOCKER_HOST}",
"KUBECONFIG": "${KUBECONFIG}",
"NAMESPACE": "${NAMESPACE}",
"COMMIT_CONTAINER": "${COMMIT_CONTAINER}",
"KEEP_TEMPLATE": "${KEEP_TEMPLATE}",
"SANDBOX_NETWORK_MODE": "${SANDBOX_NETWORK_MODE}",
"SANDBOX_READ_ONLY": "${SANDBOX_READ_ONLY}",
"SANDBOX_CAP_DROP": "${SANDBOX_CAP_DROP}",
"SANDBOX_SECURITY_OPT": "${SANDBOX_SECURITY_OPT}",
"SANDBOX_MEMORY": "${SANDBOX_MEMORY}",
"SANDBOX_CPUS": "${SANDBOX_CPUS}"
}
}
}
}
{
"servers": {
"llm-sandbox": {
"type": "stdio",
"command": "uvx",
"args": [
"llm-sandbox==0.3.43"
],
"env": {
"BACKEND": "${BACKEND}",
"DOCKER_HOST": "${DOCKER_HOST}",
"KUBECONFIG": "${KUBECONFIG}",
"NAMESPACE": "${NAMESPACE}",
"COMMIT_CONTAINER": "${COMMIT_CONTAINER}",
"KEEP_TEMPLATE": "${KEEP_TEMPLATE}",
"SANDBOX_NETWORK_MODE": "${SANDBOX_NETWORK_MODE}",
"SANDBOX_READ_ONLY": "${SANDBOX_READ_ONLY}",
"SANDBOX_CAP_DROP": "${SANDBOX_CAP_DROP}",
"SANDBOX_SECURITY_OPT": "${SANDBOX_SECURITY_OPT}",
"SANDBOX_MEMORY": "${SANDBOX_MEMORY}",
"SANDBOX_CPUS": "${SANDBOX_CPUS}"
}
}
}
}
name: my-agent target: local servers: - hub: io.github.vndee/llm-sandbox
- not probed yet: tools unpinned, ingest lists them
tools
Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.