Axiom Perception MCP Server

axiom-perception-mcp PyPI v2.1.0

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.

Trust grade
A
90/100
Last scanned
Trust
A · 90/100
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
Moderate
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.
A Why this grade threat 98 − adoption risk = 90/100

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 − 2.1 = 98. What the published surface and source actually contain:

PointsWhat was foundCategory
−2.1 Package has no source repository MTC-SUP-011 supply-chain

2. Client adoption risk — 98 − 8 = 90. 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
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−5 publisher verification (unlocatable) — no provenance and no public repository to inspect
inspection depth (source) — how much of the target the scan could see

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 1

low Package has no source repositoryMTC-SUP-011

"axiom-perception-mcp" declares no repository URL, so its published artifact cannot be compared against reviewable source.

Fix: Prefer packages that link to public, reviewable source.

Location: package axiom-perception-mcp

Tools 27

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

  • fetch_community_patternsingests untrusted input
  • abandon_checkpointno sensitive capability
  • check_accessibility_permissionsno sensitive capability
  • clear_agent_progressno sensitive capability
  • click_elementno sensitive capability
  • complete_checkpointno sensitive capability
  • delete_noteno sensitive capability
  • export_patternno sensitive capability
  • find_elementno sensitive capability
  • get_agent_progressno sensitive capability
  • get_app_ui_treeno sensitive capability
  • get_focused_elementno sensitive capability
  • list_checkpointsno sensitive capability
  • list_notesno sensitive capability
  • list_patternsno sensitive capability
  • list_running_appsno sensitive capability
  • read_noteno sensitive capability
  • recall_patternno sensitive capability
  • record_outcomeno sensitive capability
  • report_stepno sensitive capability
  • resume_checkpointno sensitive capability
  • save_checkpointno sensitive capability
  • save_patternno sensitive capability
  • search_patternsno sensitive capability
  • share_noteno sensitive capability
  • type_in_elementno sensitive capability
  • update_patternno sensitive capability

What this scan could not see

Versions

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
v2.1.0 latest A 90/100 1 1.8.0 2026-07-23

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 · 90/100
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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 axiom-perception-mcp --online --registry pypi

Use the free API → How scoring works

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