ministack-mcp
PyPI
v0.1.18
Published by ministackorg — 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.
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 − 7 = 93. 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 |
|---|---|
| −6 | capability blast radius (high) — 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.
In the server's implementation (`ministack_mcp/server.py:446`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: result = subprocess.run( shlex.split(cmd), capture_output=True, text=
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server ministack_mcp/server.py
Each tool and what it can reach — statically extracted from the published source.
aws_executeno sensitive capabilitycheck_sdk_coverageno sensitive capabilitycheck_terraform_coverageno sensitive capabilitycompare_with_awsno sensitive capabilitycreate_resourceno sensitive capabilitydelete_resourceno sensitive capabilitydescribe_resourceno sensitive capabilitydiff_environmentsno sensitive capabilityexplain_errorno sensitive capabilityexport_setupno sensitive capabilityfind_service_for_use_caseno sensitive capabilitygenerate_test_fixtureno sensitive capabilityget_config_varno sensitive capabilityget_docker_statusno sensitive capabilityget_endpoint_infono sensitive capabilityget_migration_guideno sensitive capabilityget_quickstartno sensitive capabilityget_serviceno sensitive capabilityget_setup_statusno sensitive capabilityinvoke_lambdano sensitive capabilityis_operation_supportedno sensitive capabilitylist_config_varsno sensitive capabilitylist_resourcesno sensitive capabilitylist_servicesno sensitive capabilityministack_healthno sensitive capabilityministack_resetno sensitive capabilityministack_versionno sensitive capabilitypublish_snsno sensitive capabilityput_s3_objectno sensitive capabilityquery_dynamodbno sensitive capabilityreset_and_verifyno sensitive capabilityrun_smoke_testno sensitive capabilityscaffold_architectureno sensitive capabilitysearch_operationsno sensitive capabilitysend_sqs_messageno sensitive capabilitysuggest_next_stepsno sensitive capabilityvalidate_endpointno 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 |
|---|---|---|---|---|
v0.1.18 latest |
A 93/100 | 1 | 1.9.0 | 2026-07-24 |
v0.1.16 |
A 93/100 | 1 | 1.9.0 | 2026-07-23 |
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.
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