Qiniu MCP Server
qiniu-mcp-server
PyPI
v1.4.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
A MCP server project of Qiniu.
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 − 5 = 95. 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 |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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.
Findings 1
medium Unconstrained URL/host parameter "url" on "fetch_object"MTC-CAP-007
Tool "fetch_object" takes a URL/host parameter "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 fetch_object · inputSchema.properties.url
Tools 24
Each tool and what it can reach — statically extracted from the published source.
cdn_prefetch_urlsingests untrusted inputcdn_refreshingests untrusted inputfetch_objectingests untrusted inputget_object_urlingests untrusted inputlive_streaming_query_live_traffic_statsingests untrusted inputget_fop_statusno sensitive capabilityget_objectno sensitive capabilityimage_infono sensitive capabilityimage_round_cornerno sensitive capabilityimage_scale_by_percentno sensitive capability
Show 14 more tools ↓
image_scale_by_sizeno sensitive capabilitylist_bucketsno sensitive capabilitylist_objectsno sensitive capabilitylive_streaming_bind_play_domainno sensitive capabilitylive_streaming_bind_push_domainno sensitive capabilitylive_streaming_create_bucketno sensitive capabilitylive_streaming_create_streamno sensitive capabilitylive_streaming_get_play_urlsno sensitive capabilitylive_streaming_get_push_urlsno sensitive capabilitylive_streaming_list_bucketsno sensitive capabilitylive_streaming_list_streamsno sensitive capabilityupload_local_fileno sensitive capabilityupload_text_datano sensitive capabilityversionno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (24 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
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 |
|---|---|---|---|---|
v1.4.1 latest |
A 95/100 | 1 | 1.13.0 | 2026-08-25 |
Embed this score
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.
Verify this score yourself
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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