Mockloop MCP Server

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.

Trust grade
A
99/100
Last scanned get badge →
Trust
A · 99/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Minimal
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 99/100

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:

PointsAdoption-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

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 30

Each tool and what it can reach — statically extracted from the published source.

  • analyze_test_resultsno sensitive capability
  • compare_test_runsno sensitive capability
  • create_agent_contextno sensitive capability
  • create_context_snapshotno sensitive capability
  • create_test_sessionno sensitive capability
  • create_test_session_contextno sensitive capability
  • create_workflow_contextno sensitive capability
  • deploy_scenariono sensitive capability
  • discover_mock_serversno sensitive capability
  • end_test_sessionno sensitive capability
Show 20 more tools ↓
  • execute_test_planno sensitive capability
  • generate_mock_apino sensitive capability
  • generate_test_reportno sensitive capability
  • get_context_datano sensitive capability
  • get_global_context_datano sensitive capability
  • get_performance_metricsno sensitive capability
  • list_active_scenariosno sensitive capability
  • list_contexts_by_typeno sensitive capability
  • manage_mock_datano sensitive capability
  • monitor_test_progressno sensitive capability
  • query_mock_logsno sensitive capability
  • restore_context_snapshotno sensitive capability
  • run_load_testno sensitive capability
  • run_security_testno sensitive capability
  • run_test_iterationno sensitive capability
  • schedule_test_suiteno sensitive capability
  • switch_scenariono sensitive capability
  • update_context_datano sensitive capability
  • update_global_context_datano sensitive capability
  • validate_scenario_configno sensitive capability

What this scan could not see

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.

VersionScoreFindingsEngineScanned
v2.2.9 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.

MCP Trust Score: A · 99/100
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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.

npx mcptrustchecker scan mockloop-mcp --online --registry pypi

Use the free API → How scoring works

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