Govern MCP Server
mcp-govern
PyPI
v1.0.1
Published by xavimf87 — 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 per consultar dades obertes del Govern de Catalunya: contractes, subvencions, sous, pressupostos, lobbies i transparència
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 − 1 = 99. 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 |
|---|---|
| −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 49
Each tool and what it can reach — statically extracted from the published source.
bcn_cercar_datasetsno sensitive capabilitybcn_detall_datasetno sensitive capabilitybcn_obtenir_dadesno sensitive capabilitybde_serieno sensitive capabilitybde_series_destacadesno sensitive capabilitybdns_cercar_concessionsno sensitive capabilitybdns_cercar_convocatoriesno sensitive capabilitybdns_detall_convocatoriano sensitive capabilityboe_contractesno sensitive capabilityboe_departamentsno sensitive capability
Show 39 more tools ↓
boe_legislaciono sensitive capabilityboe_nomenamentsno sensitive capabilityboe_sumarino sensitive capabilityborme_sumarino sensitive capabilitycercar_agenda_lobbiesno sensitive capabilitycercar_contractesno sensitive capabilitycercar_contractes_menorsno sensitive capabilitycercar_convocatoriesno sensitive capabilitycercar_declaracions_activitatsno sensitive capabilitycercar_directius_sector_publicno sensitive capabilitycercar_llocs_treballno sensitive capabilitycercar_oferta_ocupaciono sensitive capabilitycercar_pressupostosno sensitive capabilitycercar_pressupostos_municipalsno sensitive capabilitycercar_publicacions_pscpno sensitive capabilitycercar_retribucions_alts_carrecsno sensitive capabilitycercar_retribucions_subvencionatsno sensitive capabilitycercar_subvencionsno sensitive capabilitycercar_viatges_alts_carrecsno sensitive capabilitycgpj_cercar_sentenciesno sensitive capabilitycgpj_dades_corrupciono sensitive capabilitycgpj_estadistiques_judicialsno sensitive capabilityconsultar_taules_salarialsno sensitive capabilitydatosgob_cercar_datasetsno sensitive capabilitydatosgob_detall_datasetno sensitive capabilitydetall_contracteno sensitive capabilitydetall_subvenciono sensitive capabilitydetectar_concentracio_contractesno sensitive capabilitydetectar_fraccionamentno sensitive capabilitydogc_cercar_normativano sensitive capabilityestadistiquesno sensitive capabilityine_dades_taulano sensitive capabilityine_operacionsno sensitive capabilityine_serieno sensitive capabilityine_taulesno sensitive capabilityinvestigar_entitatno sensitive capabilityllistar_campsno sensitive capabilitypge_despesesno sensitive capabilitypge_estructurano sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (49 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 |
|---|---|---|---|---|
v1.0.1 latest |
A 99/100 | 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 mcp-govern --online --registry pypiMore in Data Science & ML
MCP server for 2s.io — 575+ pay-per-call tools for AI agents — ground-truth data, AI gateway, and agent infra (storage, locks, queues, watchers). x402 USDC on Base/Solana, no API keys, upto usage billing, free trials.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Add MCP servers to your favorite coding agents with a single command.
Help agents automatically write and test stories for your UI components
Model Context Protocol server for AI-Archive platform - enables AI agents to discover, submit, and review research papers
MCP server for Semantic Scholar research workflows with stdio and Streamable HTTP transports.