Bps MCP Server
bps-mcp-server
npm
v0.16.3
Source verified
Published by setiapam — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
MCP server for BPS (Badan Pusat Statistik) Indonesia statistics data
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 − 3 = 97. 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 |
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 39
Each tool and what it can reach — statically extracted from the published source.
get_infographicingests untrusted inputallstats_deep_searchno sensitive capabilityallstats_searchno sensitive capabilitycache_clearno sensitive capabilitycompare_datano sensitive capabilityfind_datano sensitive capabilityfind_variableno sensitive capabilityget_csa_tableno sensitive capabilityget_dynamic_datano sensitive capabilityget_newsno sensitive capability
Show 29 more tools ↓
get_press_releaseno sensitive capabilityget_publicationno sensitive capabilityget_rankingno sensitive capabilityget_static_tableno sensitive capabilityget_trade_datano sensitive capabilityget_trendno sensitive capabilitylist_census_eventsno sensitive capabilitylist_census_topicsno sensitive capabilitylist_csa_categoriesno sensitive capabilitylist_csa_subjectsno sensitive capabilitylist_csa_tablesno sensitive capabilitylist_derived_periodsno sensitive capabilitylist_derived_variablesno sensitive capabilitylist_domainsno sensitive capabilitylist_glossaryno sensitive capabilitylist_infographicsno sensitive capabilitylist_newsno sensitive capabilitylist_periodsno sensitive capabilitylist_press_releasesno sensitive capabilitylist_publicationsno sensitive capabilitylist_static_tablesno sensitive capabilitylist_strategic_indicatorsno sensitive capabilitylist_subject_categoriesno sensitive capabilitylist_subjectsno sensitive capabilitylist_unitsno sensitive capabilitylist_variablesno sensitive capabilitylist_vertical_variablesno sensitive capabilityresolve_domainno sensitive capabilitysearchno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (39 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 |
|---|---|---|---|---|
v0.16.3 latest |
A 97/100 | 0 | 1.13.0 | 2026-09-07 |
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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