https://mcp.cleanor.app/mcp
Remote
v0.6.0
Published by mcp.cleanor.app — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Zero-auth image optimize/convert + cited storage, image-format & QR data for AI builders.
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 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 6 = 94. 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 |
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.
This server (without client built-ins) exposes a complete data-exfiltration chain: optimize_image ⇒ hmac. Untrusted input is ingested, private data is read, and it can be sent to an external sink — and at least one leg is a direct schema wire (⇒), where a producer's output drops straight into a free-text parameter of the next tool, so the chain needs little agent cooperation. Static analysis proves the primitive exists, not that a specific run will occur.
Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.
Location: flow optimize_image → hmac
Tool "hmac" can both read sensitive data and send data to an external destination. Even without an explicit untrusted-input leg, this is a single-call data-exfiltration path if the model is ever manipulated.
Fix: Separate reading from sending; require explicit user confirmation before egress of file/secret contents.
Location: flow hmac
Tool "optimize_image" takes a URL/host parameter "image_url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool optimize_image · inputSchema.properties.image_url
Each tool and what it can reach — enumerated from the running server.
hmacnetwork egressreads sensitive dataoptimize_imageingests untrusted inputbase_convertno sensitive capabilitybase64no sensitive capabilitycolorno sensitive capabilitycolor_paletteno sensitive capabilitycountno sensitive capabilitycron_describeno sensitive capabilitydatetimeno sensitive capabilitydiffno sensitive capabilityhashno sensitive capabilityimage_format_savingsno sensitive capabilityjson_formatno sensitive capabilityjwt_decodeno sensitive capabilityplaceholder_imageno sensitive capabilityqr_codeno sensitive capabilityregex_testno sensitive capabilityslugifyno sensitive capabilitystorage_capacityno sensitive capabilityunit_convertno sensitive capabilityurl_parseno sensitive capabilityuuidno sensitive capabilityCross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
Scan 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 |
|---|---|---|---|---|
v0.6.0 latest |
A 94/100 | 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.
npx mcptrustchecker scan https://mcp.cleanor.app/mcp --online
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