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    MCP Virtual Computer

    mcpkey · package
    io.github.flujo-app/mcp-virtual-computer · v0.2.11
    deploy just this

    A persistent Docker or Fly computer with a Three.js interface and optional live Xfce desktop.

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    #!/usr/bin/env bash
# virtual-computer (io.github.flujo-app/mcp-virtual-computer), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-virtual-computer.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 mcp-virtual-computer==0.2.11

[Unit]
Description=MCP server virtual-computer (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/virtual-computer
WorkingDirectory=/var/lib/mcp/virtual-computer
ExecStart=/opt/mcp/my-agent/bin/virtual-computer.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/virtual-computer

[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 COMPUTER_ID -e DESKTOP_ENVIRONMENT -e NETWORK_ACCESS -e AUTO_INSTALL_DOCKER -e AUTO_INSTALL_FLYCTL -e FLY_API_TOKEN -e EXPOSE_LIFECYCLE_TOOLS ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-virtual-computer==0.2.11'
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T04:40:07+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:
  virtual-computer:
    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 mcp-virtual-computer==0.2.11
    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}
      COMPUTER_ID: ${COMPUTER_ID}
      DESKTOP_ENVIRONMENT: ${DESKTOP_ENVIRONMENT}
      NETWORK_ACCESS: ${NETWORK_ACCESS}
      AUTO_INSTALL_DOCKER: ${AUTO_INSTALL_DOCKER}
      AUTO_INSTALL_FLYCTL: ${AUTO_INSTALL_FLYCTL}
      FLY_API_TOKEN: ${FLY_API_TOKEN}
      EXPOSE_LIFECYCLE_TOOLS: ${EXPOSE_LIFECYCLE_TOOLS}
volumes:
  npm-cache: {}
  uv-cache: {}
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T04:40:07+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: virtual-computer
  namespace: mcp
  labels: &id001
    app: virtual-computer
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: virtual-computer
        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: COMPUTER_ID
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: COMPUTER_ID
        - name: DESKTOP_ENVIRONMENT
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DESKTOP_ENVIRONMENT
        - name: NETWORK_ACCESS
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: NETWORK_ACCESS
        - name: AUTO_INSTALL_DOCKER
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: AUTO_INSTALL_DOCKER
        - name: AUTO_INSTALL_FLYCTL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: AUTO_INSTALL_FLYCTL
        - name: FLY_API_TOKEN
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: FLY_API_TOKEN
        - name: EXPOSE_LIFECYCLE_TOOLS
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: EXPOSE_LIFECYCLE_TOOLS
        command:
        - sh
        - -c
        - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-virtual-computer==0.2.11
        readinessProbe:
          httpGet:
            path: /status
            port: http
          initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: virtual-computer
  namespace: mcp
spec:
  selector:
    app: virtual-computer
  ports:
  - port: 8000
    targetPort: http
    name: http
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T04:40:07+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:
  virtual-computer:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: virtual-computer
      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: COMPUTER_ID
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: COMPUTER_ID
      - name: DESKTOP_ENVIRONMENT
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DESKTOP_ENVIRONMENT
      - name: NETWORK_ACCESS
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: NETWORK_ACCESS
      - name: AUTO_INSTALL_DOCKER
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: AUTO_INSTALL_DOCKER
      - name: AUTO_INSTALL_FLYCTL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: AUTO_INSTALL_FLYCTL
      - name: FLY_API_TOKEN
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: FLY_API_TOKEN
      - name: EXPOSE_LIFECYCLE_TOOLS
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: EXPOSE_LIFECYCLE_TOOLS
      command:
      - sh
      - -c
      - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-virtual-computer==0.2.11
      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
    deploy to koyeb

    The form opens with CHANGE_ME for each value you supply: BACKEND, COMPUTER_ID, DESKTOP_ENVIRONMENT, NETWORK_ACCESS, AUTO_INSTALL_DOCKER, AUTO_INSTALL_FLYCTL, FLY_API_TOKEN, EXPOSE_LIFECYCLE_TOOLS. Fill them in before you deploy.

    Clients connect to the service's https://…koyeb.app address plus /mcp.

    azure
    deploy to azuretemplate

    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 needs
    uvx mcp-virtual-computer==0.2.11
# env: BACKEND, COMPUTER_ID, DESKTOP_ENVIRONMENT, NETWORK_ACCESS, AUTO_INSTALL_DOCKER, AUTO_INSTALL_FLYCTL, FLY_API_TOKEN, EXPOSE_LIFECYCLE_TOOLS
    {
  "mcpServers": {
    "virtual-computer": {
      "command": "uvx",
      "args": [
        "mcp-virtual-computer==0.2.11"
      ],
      "env": {
        "BACKEND": "${BACKEND}",
        "COMPUTER_ID": "${COMPUTER_ID}",
        "DESKTOP_ENVIRONMENT": "${DESKTOP_ENVIRONMENT}",
        "NETWORK_ACCESS": "${NETWORK_ACCESS}",
        "AUTO_INSTALL_DOCKER": "${AUTO_INSTALL_DOCKER}",
        "AUTO_INSTALL_FLYCTL": "${AUTO_INSTALL_FLYCTL}",
        "FLY_API_TOKEN": "${FLY_API_TOKEN}",
        "EXPOSE_LIFECYCLE_TOOLS": "${EXPOSE_LIFECYCLE_TOOLS}"
      }
    }
  }
}
    #!/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 virtual-computer -e "BACKEND=${BACKEND}" -e "COMPUTER_ID=${COMPUTER_ID}" -e "DESKTOP_ENVIRONMENT=${DESKTOP_ENVIRONMENT}" -e "NETWORK_ACCESS=${NETWORK_ACCESS}" -e "AUTO_INSTALL_DOCKER=${AUTO_INSTALL_DOCKER}" -e "AUTO_INSTALL_FLYCTL=${AUTO_INSTALL_FLYCTL}" -e "FLY_API_TOKEN=${FLY_API_TOKEN}" -e "EXPOSE_LIFECYCLE_TOOLS=${EXPOSE_LIFECYCLE_TOOLS}" -- uvx mcp-virtual-computer==0.2.11

    {
  "mcpServers": {
    "virtual-computer": {
      "command": "uvx",
      "args": [
        "mcp-virtual-computer==0.2.11"
      ],
      "env": {
        "BACKEND": "${BACKEND}",
        "COMPUTER_ID": "${COMPUTER_ID}",
        "DESKTOP_ENVIRONMENT": "${DESKTOP_ENVIRONMENT}",
        "NETWORK_ACCESS": "${NETWORK_ACCESS}",
        "AUTO_INSTALL_DOCKER": "${AUTO_INSTALL_DOCKER}",
        "AUTO_INSTALL_FLYCTL": "${AUTO_INSTALL_FLYCTL}",
        "FLY_API_TOKEN": "${FLY_API_TOKEN}",
        "EXPOSE_LIFECYCLE_TOOLS": "${EXPOSE_LIFECYCLE_TOOLS}"
      }
    }
  }
}
    {
  "servers": {
    "virtual-computer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-virtual-computer==0.2.11"
      ],
      "env": {
        "BACKEND": "${BACKEND}",
        "COMPUTER_ID": "${COMPUTER_ID}",
        "DESKTOP_ENVIRONMENT": "${DESKTOP_ENVIRONMENT}",
        "NETWORK_ACCESS": "${NETWORK_ACCESS}",
        "AUTO_INSTALL_DOCKER": "${AUTO_INSTALL_DOCKER}",
        "AUTO_INSTALL_FLYCTL": "${AUTO_INSTALL_FLYCTL}",
        "FLY_API_TOKEN": "${FLY_API_TOKEN}",
        "EXPOSE_LIFECYCLE_TOOLS": "${EXPOSE_LIFECYCLE_TOOLS}"
      }
    }
  }
}
    name: my-agent
target: local
servers:
- hub: io.github.flujo-app/mcp-virtual-computer
    • 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.