testrail-mcp-server
PyPI
v0.3.3
Published by sergey-bl — 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 for TestRail — CRUD plus AI test-case generation from text, Jira tickets, and Confluence pages
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.
Each tool and what it can reach — statically extracted from the published source.
get_runingests untrusted inputget_test_caseingests untrusted inputadd_bulk_resultsno sensitive capabilityadd_resultno sensitive capabilityadd_test_cases_bulkno sensitive capabilityclose_runno sensitive capabilitycreate_runno sensitive capabilitycreate_suiteno sensitive capabilitycreate_test_caseno sensitive capabilitydedupe_against_sectionno sensitive capabilityfind_populated_sectionno sensitive capabilityflaky_test_detectorno sensitive capabilityget_or_create_sectionno sensitive capabilityget_results_for_runno sensitive capabilityget_tests_in_runno sensitive capabilitylist_projectsno sensitive capabilitylist_runsno sensitive capabilitylist_sectionsno sensitive capabilitylist_suitesno sensitive capabilityprepare_cases_from_confluenceno sensitive capabilityprepare_cases_from_jirano sensitive capabilityprepare_cases_from_textno sensitive capabilityprepare_coverage_gapsno sensitive capabilityprepare_feature_bootstrapno sensitive capabilityprepare_lintno sensitive capabilityprepare_run_summaryno sensitive capabilityprepare_runs_diffno sensitive capabilitypreview_house_styleno sensitive capabilitysearch_test_casesno sensitive capabilityupdate_caseno sensitive capabilityupdate_runno 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 |
|---|---|---|---|---|
v0.3.3 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-04 |
v0.3.1 |
A 96/100 | 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 testrail-mcp-server --online --registry pypi
Independent packages implementing the same tool, scanned with the same engine. Compare all 9 side by side →
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