mockloop-mcp
PyPI
v2.2.9
Published by mockloop — 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 to generate and run mock APIs from specifications.
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.
Each tool and what it can reach — statically extracted from the published source.
analyze_test_resultsno sensitive capabilitycompare_test_runsno sensitive capabilitycreate_agent_contextno sensitive capabilitycreate_context_snapshotno sensitive capabilitycreate_test_sessionno sensitive capabilitycreate_test_session_contextno sensitive capabilitycreate_workflow_contextno sensitive capabilitydeploy_scenariono sensitive capabilitydiscover_mock_serversno sensitive capabilityend_test_sessionno sensitive capabilityexecute_test_planno sensitive capabilitygenerate_mock_apino sensitive capabilitygenerate_test_reportno sensitive capabilityget_context_datano sensitive capabilityget_global_context_datano sensitive capabilityget_performance_metricsno sensitive capabilitylist_active_scenariosno sensitive capabilitylist_contexts_by_typeno sensitive capabilitymanage_mock_datano sensitive capabilitymonitor_test_progressno sensitive capabilityquery_mock_logsno sensitive capabilityrestore_context_snapshotno sensitive capabilityrun_load_testno sensitive capabilityrun_security_testno sensitive capabilityrun_test_iterationno sensitive capabilityschedule_test_suiteno sensitive capabilityswitch_scenariono sensitive capabilityupdate_context_datano sensitive capabilityupdate_global_context_datano sensitive capabilityvalidate_scenario_configno 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 |
|---|---|---|---|---|
v2.2.9 latest |
A 99/100 | 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 mockloop-mcp --online --registry pypi
The Stripe Agent Toolkit enables popular agent frameworks including LangChain and Vercel's AI SDK to integrate with Stripe APIs through function calling.
MCP (Model Context Protocol) server for AgentGate. Enables Claude and other MCP-compatible AI assistants to request approvals.
Scan any website for AI agent readiness, payment protocols, and discovery endpoints
MCP server for aigently security guardrails — reads static catalog-data JSON, zero API dependency
Governed threat modeling, code threat verification, traceability & compliance, as MCP tools.
Governed threat modeling, code threat verification, traceability & compliance, as MCP tools.