Splunk MCP Server
mcp-server-splunk
PyPI
v0.2.0
Published by pahar0 — 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.
A Model Context Protocol server for Splunk - search, manage, and analyze Splunk data via LLMs
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 92
Each tool and what it can reach — statically extracted from the published source.
cancel_jobno sensitive capabilitycheck_capabilityno sensitive capabilitycheck_restart_requiredno sensitive capabilitycreate_alertno sensitive capabilitycreate_appno sensitive capabilitycreate_dashboardno sensitive capabilitycreate_indexno sensitive capabilitycreate_kvstore_collectionno sensitive capabilitycreate_kvstore_lookupno sensitive capabilitycreate_macrono sensitive capability
Show 82 more tools ↓
create_monitor_inputno sensitive capabilitycreate_roleno sensitive capabilitycreate_saved_searchno sensitive capabilitycreate_server_messageno sensitive capabilitycreate_sourcetypeno sensitive capabilitycreate_transformno sensitive capabilitycreate_userno sensitive capabilitydelete_alertno sensitive capabilitydelete_appno sensitive capabilitydelete_dashboardno sensitive capabilitydelete_indexno sensitive capabilitydelete_inputno sensitive capabilitydelete_kvstore_collectionno sensitive capabilitydelete_kvstore_datano sensitive capabilitydelete_macrono sensitive capabilitydelete_roleno sensitive capabilitydelete_saved_searchno sensitive capabilitydelete_server_messageno sensitive capabilitydelete_sourcetypeno sensitive capabilitydelete_transformno sensitive capabilitydelete_userno sensitive capabilityexport_search_resultsno sensitive capabilityget_alert_historyno sensitive capabilityget_dashboardno sensitive capabilityget_data_modelno sensitive capabilityget_field_summaryno sensitive capabilityget_index_infono sensitive capabilityget_input_infono sensitive capabilityget_job_resultsno sensitive capabilityget_job_statusno sensitive capabilityget_kvstore_collectionno sensitive capabilityget_lookup_datano sensitive capabilityget_macrono sensitive capabilityget_role_capabilitiesno sensitive capabilityget_role_infono sensitive capabilityget_saved_searchno sensitive capabilityget_server_infono sensitive capabilityget_server_messageno sensitive capabilityget_server_settingsno sensitive capabilityget_sourcetypeno sensitive capabilityget_transformno sensitive capabilityget_user_infono sensitive capabilityinsert_kvstore_datano sensitive capabilitylist_alertsno sensitive capabilitylist_appsno sensitive capabilitylist_dashboardsno sensitive capabilitylist_data_modelsno sensitive capabilitylist_field_extractionsno sensitive capabilitylist_indexesno sensitive capabilitylist_inputsno sensitive capabilitylist_jobsno sensitive capabilitylist_kvstore_collectionsno sensitive capabilitylist_lookupsno sensitive capabilitylist_macrosno sensitive capabilitylist_rolesno sensitive capabilitylist_saved_searchesno sensitive capabilitylist_server_messagesno sensitive capabilitylist_sourcetypesno sensitive capabilitylist_system_capabilitiesno sensitive capabilitylist_transformsno sensitive capabilitylist_usersno sensitive capabilityquery_kvstore_collectionno sensitive capabilityrefresh_splunkno sensitive capabilityrestart_splunkno sensitive capabilityrun_saved_searchno sensitive capabilitysearch_asyncno sensitive capabilitysearch_data_modelno sensitive capabilitysearch_realtimeno sensitive capabilitysearch_splunkno sensitive capabilitysend_eventno sensitive capabilityupdate_alertno sensitive capabilityupdate_appno sensitive capabilityupdate_indexno sensitive capabilityupdate_kvstore_datano sensitive capabilityupdate_lookup_datano sensitive capabilityupdate_macrono sensitive capabilityupdate_roleno sensitive capabilityupdate_saved_searchno sensitive capabilityupdate_server_settingsno sensitive capabilityupdate_sourcetypeno sensitive capabilityupdate_transformno sensitive capabilityupdate_userno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (92 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 |
|---|---|---|---|---|
v0.2.0 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.
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