vps-ops-mcp
npm
v0.1.0
Published by akdag94 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Safe, structured MCP server for VPS ops over SSH — nginx, PM2, SSL, UFW, fail2ban. Read-only by default. Don't give your AI raw root SSH.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 7.5 = 93. What the published surface and source actually contain:
| Points | What was found | Category |
|---|---|---|
| −6.3 | Description names a credential store the tool cannot reach MTC-INJ-SCHEMA-1 | injection |
| −1.2 | Reference to a credential-exfiltration path in metadata MTC-INJ-TARGET-1 | injection |
2. Client adoption risk — 93 − 7 = 86. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
In the server's implementation (`dist/ssh.js:1`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: rt { spawn } from "node:child_process"; const DEFAULT_TIMEOUT_MS = 30_000; /** * Runs a command on a remote host using
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/ssh.js
Tool "list_hosts" describes a credential store (SSH keys, cloud credentials, a keychain or an equivalent) that nothing in its input schema can address. A tool's interface is the honest statement of what it touches; prose that reaches past it is addressed to the model, not to a reader.
Evidence: ~/.ssh
Fix: Remove the reference, or expose the target as an explicit, validated parameter so the client can see and consent to what the tool reads.
Location: tool list_hosts · description
Reference to a credential-exfiltration path in metadata detected in the description of tool "list_hosts". Instruction-like content in tool metadata is executed by the model, not the human, and is the primary tool-poisoning vector.
Evidence: ~/.ssh
Fix: Tool descriptions should describe behavior, not instruct the assistant. Treat imperative / secrecy / sequencing language in metadata as hostile.
Location: tool list_hosts · description
Each tool and what it can reach — statically extracted from the published source.
read_logsreads sensitive datalist_hostsno sensitive capabilitylist_sitesno sensitive capabilitynginx_check_and_reloadno sensitive capabilitypm2_restartno sensitive capabilitysecurity_auditno sensitive capabilityserver_healthno sensitive capabilityssl_statusno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.0 latest |
B 86/100 | 3 | 1.13.0 | 2026-09-07 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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