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VPS Guardian MCP

CI npm PyPI License: MIT

VPS Guardian is a secure Model Context Protocol server for AI agents that work with Linux VPSs. It replaces an unrestricted “run this command and paste the result” loop with named, structured and safety-checked operations.

An agent can inspect a workload, collect bounded diagnostics, preview the impact of a change, and request an exact confirmation for a mutation. The server never exposes a general-purpose shell tool.

Explore the project: capabilities · agent workflows · security model · tool catalogue · release notes

Quick start

VPS Guardian has two parts:

  • The Python MCP server runs on the VPS.
  • The small npm launcher runs on the computer where Codex, Claude, Cursor or another AI client is installed. It opens an SSH stdio connection and never uploads the private key.

What you need

  • A Linux VPS reachable via SSH.
  • An SSH key for that VPS.
  • Python 3.10+ on the VPS and Node.js 16+ on the AI client's computer.
  • A verified SSH host key. Password-based SSH is intentionally unsupported by the launcher.

1. Install the server on the VPS

Run once on the VPS. This installs the published, pinned release:

sudo mkdir -p /opt/vps-guardian-mcp
sudo chown "$USER" /opt/vps-guardian-mcp
python3 -m venv /opt/vps-guardian-mcp/.venv
/opt/vps-guardian-mcp/.venv/bin/pip install --upgrade pip
/opt/vps-guardian-mcp/.venv/bin/pip install vps-guardian-mcp==0.26.1

For development from source instead:

git clone --branch v0.26.1 https://github.com/murzirius/VPS-Guardian-MCP.git /opt/vps-guardian-mcp
cd /opt/vps-guardian-mcp
python3 -m venv .venv
.venv/bin/pip install -e .

If the server runs as a non-root user, grant only the required read access. Docker and journal features gracefully report as unavailable when that access is absent.

sudo usermod -aG docker <MCP_USER>
sudo usermod -aG systemd-journal <MCP_USER>

Log out and back in after changing groups.

2. Choose a safety mode

Mode Use it when Result
read-only Inspecting or diagnosing Default. Every mutation is blocked.
controlled Assisted administration Recommended. Each exact change needs a short-lived, single-use confirmation token.
unrestricted A separately protected automation environment Changes run immediately. Avoid on a general-purpose agent.

Start with read-only; use controlled once the connection is verified.

3. Connect an AI client over SSH

First verify the VPS fingerprint independently and make a normal SSH connection once. That stores the host key in ~/.ssh/known_hosts (or %USERPROFILE%\.ssh\known_hosts on Windows). The launcher requires host-key verification by default.

Use this configuration for JSON-based MCP clients:

{
  "mcpServers": {
    "vps-guardian": {
      "command": "npx",
      "args": [
        "-y",
        "@murzirius/vps-guardian-mcp@0.26.1",
        "--host", "<VPS_IP_OR_HOSTNAME>",
        "--user", "root",
        "--key", "~/.ssh/id_ed25519",
        "--mode", "controlled",
        "--tool-profile", "core"
      ]
    }
  }
}

Every item in args is a separate argument. Do not join --host with its value or paste the entire command into one form field.

4. Codex / ChatGPT Desktop

Open Settings → MCP servers → Add server, choose STDIO, then enter:

Field Value
Name vps-guardian
Command npx
Environment variables Leave empty
Working directory Leave empty/default

Add these arguments as separate rows, in order:

-y
@murzirius/vps-guardian-mcp@0.26.1
--host
<VPS_IP_OR_HOSTNAME>
--user
root
--key
C:\Users\<WindowsUser>\.ssh\id_ed25519
--mode
controlled
--tool-profile
core

Save, restart the client, then use /mcp to confirm that vps-guardian is connected.

5. Common situations

Claude Code

claude mcp add vps-guardian -- npx -y @murzirius/vps-guardian-mcp@0.26.1 --host <VPS_IP_OR_HOSTNAME> --user root --key ~/.ssh/id_ed25519 --mode controlled --tool-profile core

A non-root SSH user — replace root after --user. Do not add passwordless sudo just for the MCP; grant the minimum group permissions needed.

A non-standard port — add separate arguments:

--port
2222

A different server location — add:

--remote-path
/srv/vps-guardian/.venv/bin/vps-guardian-mcp

Host key verification failed — do not disable verification. Check the VPS fingerprint through a trusted channel and correct known_hosts. Use --known-hosts <path> for a dedicated file. --accept-new-host-key is only for an intentional first-time bootstrap.

6. Verify and upgrade

Ask the agent: “Check CPU and RAM load on my server.” A correct setup returns structured VPS data rather than a shell command for you to run.

To upgrade the VPS server, install the matching version and restart the client connection:

/opt/vps-guardian-mcp/.venv/bin/pip install --upgrade vps-guardian-mcp==X.Y.Z

Then replace @0.25.1 with @X.Y.Z in the client configuration. For source installations, fetch the tag, inspect local changes, check out the tag, and reinstall with .venv/bin/pip install -e ..

What it can do

VPS Guardian is built around a few workflows instead of a long, unstructured command list:

  • Observe: system pressure, processes, services, Docker, databases, ports, TLS, logs and updates.
  • Understand a workload: discover a site or Compose project, map its dependencies and health, then collect focused diagnostic evidence.
  • Coordinate agents: sessions, handoffs, leased work queues, durable Agent Jobs, runbooks, checkpoints, workload locks, maintenance windows and resumable server-event watches.
  • Change safely: preview impact, stage configuration changes, validate, back up, health-check and roll back when a deployment fails.
  • Recover deliberately: create baselines, compare drift, produce repair plans, verify isolated backups and require exact confirmation for changes.
  • Work with code: read a large file by line range, find Python symbols, stage a line edit, inspect a bounded Git diff and check a staged change in a temporary Docker capsule.

For smaller agent context, --tool-profile core exposes the everyday tools (including Agent Jobs); omit the flag or choose full for the complete catalogue. The launcher passes this profile to the server over SSH. Both profiles support compact JSON tool results, while new workload and log summaries return short answers by default. The profile takes effect when the MCP connection starts.

For a large project file, ask the agent to use get_project_symbols, then read_project_file_range around the relevant lines. A single range call returns at most 100 KB and includes a SHA-256 fingerprint. A subsequent stage_project_line_edit sends only changed lines and still uses the existing preview, confirmation, conflict check and backup flow. get_workload_brief, summarize_service_logs and get_server_event_delta provide compact operational context without background polling.

Agent Jobs: Create a job with 1-8 allowlisted checks, such as service_status and service_logs for target bot.service. Call advance_agent_job once per check. The job, bounded results, and progress survive MCP reconnects; get_agent_job(after_revision=...) returns only new results, and another authorized MCP client can continue by job ID. On Linux, advance_agent_job(background=true) starts just one detached read-only check that can finish after disconnection; it requires at least 512 MB available memory. After checking the exact service, an agent may propose one restart_service recovery. execute_agent_job_recovery uses the existing read-only/controlled/unrestricted safety mode; in controlled mode review its one-time confirmation and call again with the token. Then call verify_agent_job_recovery and record the conclusion. A possibly executed restart is never retried automatically after a disconnect. Jobs do not run an AI model, always-on worker, arbitrary shell commands, or automatic rollback on the VPS; a service restart cannot be undone. Existing reversible change tools retain their own backup and rollback rules.

Test Capsules: After begin_project_patch and stage_project_line_edit (or stage_project_file_change), call get_test_capsule_status, then test_project_patch(patch_id, check="auto"). In controlled mode, confirm this code-executing check with its own one-time token. auto syntax-checks staged Python or JavaScript files; python_unittest and npm_test explicitly run project tests. If it passes, call preview_project_patch to inspect the diff and obtain the separate apply confirmation, then promote_tested_project_patch with that token. A failed or edited candidate cannot be promoted through this tool. The existing apply_project_patch remains available for projects without Docker and does not claim a capsule test.

Capsules require a local Linux Docker daemon, an already-downloaded image (python:3.12-alpine or node:20-alpine by default) and at least 384 MiB available RAM. An operator may choose an already-local image with project dependencies via VPS_GUARDIAN_CAPSULE_PYTHON_IMAGE or VPS_GUARDIAN_CAPSULE_NODE_IMAGE. Guardian never pulls images or installs dependencies automatically. It copies at most 250 files / 8 MiB, omits common credential files and dependency directories, and allows one check at a time for 30 seconds. The container gets no network, host environment or live-project mount; CPU, RAM, processes and temporary storage are capped. Tests needing network, writable source files or missing dependencies will fail. Source files may still contain hard-coded secrets, so remove those before testing; Docker isolation reduces risk but is not a guarantee against malicious code or kernel vulnerabilities.

Examples of native MCP tools:

Request Example tool Result
“Why is the API slow?” diagnose_workload Bounded health, logs, OOM and kernel evidence.
“What will a restart affect?” get_change_impact A read-only dependency and impact report.
“Hand this incident to another agent.” handoff_agent_session Secret-redacted context and outcome tracking.
“Split this audit between agents.” create_agent_task Prioritized work with dependencies and expiring ownership.
“Check this service, then let another agent continue.” create_agent_job Durable, bounded checks with delta results and gated recovery.
“Deploy this Nginx change safely.” plan_config_deployment Validated diff, backup, confirmation and rollback path.

See the complete capability guide and full tool catalogue on the project site.

Security model

  • No arbitrary command-execution MCP tool.
  • Server-side allow-lists for files, paths, services and mutation types.
  • controlled mode uses parameter-bound, single-use confirmation tokens.
  • Secret values are redacted from file reads, sessions, audit data and diagnostic output.
  • Reads, logs, directory scans and stored state are bounded for small VPSs.

Details: security model · agent operating guide

Packages and releases

Development

python -m unittest discover -s tests -v
npm test

Please report security issues privately rather than publishing exploit details in a public issue.

License

MIT © 2026 murzirius.

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