Servicenow Cmdb MCP Server
servicenow-cmdb-mcp
PyPI
v0.1.2
Published by ketiil — 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 connecting Claude to ServiceNow CMDB via natural language
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 35
Each tool and what it can reach — statically extracted from the published source.
refresh_metadata_cacheingests untrusted inputanalyze_configurablesno sensitive capabilitycmdb_health_summaryno sensitive capabilityconfirm_ci_createno sensitive capabilityconfirm_ci_updateno sensitive capabilitycount_cisno sensitive capabilitydescribe_ci_classno sensitive capabilityexplain_duplicateno sensitive capabilityfind_duplicate_cisno sensitive capabilityfind_orphan_cisno sensitive capability
Show 25 more tools ↓
find_related_cisno sensitive capabilityfind_stale_cisno sensitive capabilityget_aclsno sensitive capabilityget_business_rulesno sensitive capabilityget_ci_detailsno sensitive capabilityget_ci_relationshipsno sensitive capabilityget_client_scriptsno sensitive capabilityget_dependency_treeno sensitive capabilityget_discovery_errorsno sensitive capabilityget_discovery_statusno sensitive capabilityget_flowsno sensitive capabilityget_identification_rulesno sensitive capabilityget_impact_summaryno sensitive capabilityget_import_set_runsno sensitive capabilityget_reconciliation_rulesno sensitive capabilityget_transform_errorsno sensitive capabilitylist_ci_classesno sensitive capabilitylist_data_sourcesno sensitive capabilitylist_discovery_schedulesno sensitive capabilitylist_relationship_typesno sensitive capabilitypreview_ci_createno sensitive capabilitypreview_ci_updateno sensitive capabilityquery_cis_rawno sensitive capabilitysearch_cisno sensitive capabilitysuggest_tableno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (35 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 |
|---|---|---|---|---|
v0.1.2 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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