mcp-jenkins
PyPI
v3.5.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
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 − 2 = 98. 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 |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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.
Each tool and what it can reach — statically extracted from the published source.
build_itemno sensitive capabilitycancel_queue_itemno sensitive capabilityget_all_build_artifactsno sensitive capabilityget_all_itemsno sensitive capabilityget_all_nodesno sensitive capabilityget_all_pluginsno sensitive capabilityget_all_queue_itemsno sensitive capabilityget_all_viewsno sensitive capabilityget_buildno sensitive capabilityget_build_artifactno sensitive capabilityget_build_artifact_urlno sensitive capabilityget_build_console_outputno sensitive capabilityget_build_parametersno sensitive capabilityget_build_scriptsno sensitive capabilityget_build_test_reportno sensitive capabilityget_itemno sensitive capabilityget_item_configno sensitive capabilityget_item_parametersno sensitive capabilityget_nodeno sensitive capabilityget_node_configno sensitive capabilityget_pending_inputsno sensitive capabilityget_pluginno sensitive capabilityget_plugin_dependency_graphno sensitive capabilityget_plugins_with_backupno sensitive capabilityget_plugins_with_problemsno sensitive capabilityget_plugins_with_updatesno sensitive capabilityget_queue_itemno sensitive capabilityget_running_buildsno sensitive capabilityget_viewno sensitive capabilityquery_itemsno sensitive capabilityrun_groovy_scriptno sensitive capabilityset_item_configno sensitive capabilityset_node_configno sensitive capabilitystop_buildno sensitive capabilitysubmit_inputno sensitive capabilityScan 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 |
|---|---|---|---|---|
v3.5.0 latest |
A 98/100 | 0 | 1.13.0 | 2026-08-28 |
v3.4.0 |
A 98/100 | 0 | 1.13.0 | 2026-08-25 |
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.
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-jenkins --online --registry pypi
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