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Picoberry MCP Server

@picoberry/mcp-server npm v0.1.5 Source verified

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

PicoBerry MCP server — generate game-ready 3D models, images, and animations from any MCP client. Several 3D and image engines behind one API (query list_models for the live set); a thin wrapper over the PicoBerry /v1 API.

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Trust grade
A
97/100
Last scanned get badge →
Trust
A · 97/100
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.
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A Why this grade threat 100 − adoption risk = 97/100

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 − 3 = 97. 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

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 14

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

  • download_assetingests untrusted input
  • animateno sensitive capability
  • generate_3d_from_imageno sensitive capability
  • generate_3d_from_textno sensitive capability
  • generate_imageno sensitive capability
  • get_assetno sensitive capability
  • get_creditsno sensitive capability
  • list_animation_presetsno sensitive capability
  • list_modelsno sensitive capability
  • list_my_assetsno sensitive capability
Show 4 more tools ↓
  • parts_boardno sensitive capability
  • remeshno sensitive capability
  • textureno sensitive capability
  • wait_for_assetno sensitive capability

What this scan could not see

Versions 3

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
v0.1.5 latest A 97/100 0 1.13.0 2026-09-08
v0.1.4 A 96/100 0 1.12.1 2026-08-12
v0.1.3 A 97/100 0 1.12.1 2026-08-07

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 · 97/100
Markdown (GitHub README)
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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 @picoberry/mcp-server --online

Use the free API → How scoring works

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