Autousers MCP Server

@autousers/mcp npm v0.8.12 Source verified

Published by autousers-ai — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.

Official MCP server for Autousers — UX evaluation, calibrated AI personas, side-by-side design review.

Trust grade
A
94/100
Last scanned get badge →
Trust
A · 94/100
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
High
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 = 94/100

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 − 6 = 94. 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
−6 capability blast radius (high) — client exposure if the model is manipulated

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

high Dynamic code execution in server code (dist/tools/evaluations.js)MTC-SRC-001

In the server's implementation (`dist/tools/evaluations.js:173`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: tom dimensions for this eval (replaces the existing list). Each id MUST also appear in selectedDimensionIds. Internally

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 dist/tools/evaluations.js

Tools 40

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

  • autouser_run_getingests untrusted input
  • autousers_getingests untrusted input
  • evaluations_export_getingests untrusted input
  • evaluations_getingests untrusted input
  • teams_getingests untrusted input
  • templates_getingests untrusted input
  • autouser_run_turns_listno sensitive capability
  • autouser_status_getno sensitive capability
  • autousers_calibration_freezeno sensitive capability
  • autousers_calibration_optimizeno sensitive capability
Show 30 more tools ↓
  • autousers_calibration_startno sensitive capability
  • autousers_calibration_status_getno sensitive capability
  • autousers_createno sensitive capability
  • autousers_deleteno sensitive capability
  • autousers_duplicateno sensitive capability
  • autousers_listno sensitive capability
  • autousers_runno sensitive capability
  • autousers_run_stopno sensitive capability
  • autousers_updateno sensitive capability
  • evaluations_agreement_getno sensitive capability
  • evaluations_ai_insights_getno sensitive capability
  • evaluations_createno sensitive capability
  • evaluations_deleteno sensitive capability
  • evaluations_listno sensitive capability
  • evaluations_ratings_listno sensitive capability
  • evaluations_results_getno sensitive capability
  • evaluations_save_draftno sensitive capability
  • evaluations_share_createno sensitive capability
  • evaluations_shares_listno sensitive capability
  • evaluations_transferno sensitive capability
  • evaluations_updateno sensitive capability
  • get_usageno sensitive capability
  • team_members_listno sensitive capability
  • teams_listno sensitive capability
  • templates_createno sensitive capability
  • templates_deleteno sensitive capability
  • templates_duplicateno sensitive capability
  • templates_listno sensitive capability
  • templates_updateno sensitive capability
  • usage_getno 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
v0.8.12 latest A 94/100 1 1.13.0 2026-09-07

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 · 94/100
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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 @autousers/mcp --online

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