Statcan (PyPI) MCP Server
statcan-mcp-server
PyPI
v0.7.15
Published by an unidentified publisher — 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 interacting with Statistics Canada Web Data Services API
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 26
Each tool and what it can reach — statically extracted from the published source.
fetch_vectors_to_databaseingests untrusted inputreads sensitive datastore_cube_metadataingests untrusted inputreads sensitive dataget_cube_metadataingests untrusted inputget_full_table_download_csvingests untrusted inputget_full_table_download_sdmxingests untrusted inputget_sdmx_rowsingests untrusted inputget_sdmx_structureingests untrusted inputget_sdmx_vector_dataingests untrusted inputinsert_data_into_tableingests untrusted inputquery_databasereads sensitive data
Show 16 more tools ↓
search_cubes_by_titleingests untrusted inputdrop_tableno sensitive capabilityget_all_cubes_listno sensitive capabilityget_all_cubes_list_liteno sensitive capabilityget_bulk_vector_data_by_rangeno sensitive capabilityget_changed_cube_listno sensitive capabilityget_changed_series_data_from_cube_pid_coordno sensitive capabilityget_changed_series_data_from_vectorno sensitive capabilityget_changed_series_listno sensitive capabilityget_code_setsno sensitive capabilityget_sdmx_datano sensitive capabilityget_sdmx_key_for_dimensionno sensitive capabilityget_series_infono sensitive capabilityget_series_info_from_vectorno sensitive capabilityget_table_schemano sensitive capabilitylist_tablesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (26 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 |
|---|---|---|---|---|
v0.7.15 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.
npx mcptrustchecker scan statcan-mcp-server --online --registry pypiOther implementations of Statcan 1
Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →
More in API Development
Adapters for the FrontMCP framework
Transcend MCP Server — Admin tools.
Transcend MCP Server — Assessments tools.
MCP Server for Bling
MCP Server for Blogger API
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.