Ontario Data MCP Server
ontario-data-mcp
PyPI
v0.2.2
Published by sprine — 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.
MCP server for searching, downloading, and analyzing datasets from Ontario open data portals (Ontario, Toronto, Ottawa, Waterloo, Kitchener, Region of Waterloo)
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 − 4 = 96. 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 |
| −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.
Findings 0
Tools 23
Each tool and what it can reach — statically extracted from the published source.
query_cachedingests untrusted inputreads sensitive datasql_queryingests untrusted inputreads sensitive datadownload_resourceingests untrusted inputload_geodataingests untrusted inputrefresh_cacheingests untrusted inputvalidate_resultreads sensitive datacache_infono sensitive capabilitycache_manageno sensitive capabilitycheck_freshnessno sensitive capabilitycompare_datasetsno sensitive capability
Show 13 more tools ↓
find_related_datasetsno sensitive capabilityget_dataset_infono sensitive capabilityget_resource_schemano sensitive capabilitylist_geo_datasetsno sensitive capabilitylist_organizationsno sensitive capabilitylist_portalsno sensitive capabilitylist_resourcesno sensitive capabilitylist_topicsno sensitive capabilitypreview_datano sensitive capabilityprofile_datano sensitive capabilityquery_resourceno sensitive capabilitysearch_datasetsno sensitive capabilityspatial_queryno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (23 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 |
|---|---|---|---|---|
v0.2.2 latest |
A 96/100 | 0 | 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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