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Comfyui (bachstudio) MCP Server

@bachstudio/comfyui-mcp-server npm v2.7.1

Published by @bachstudio — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.

Simple Model Context Protocol (MCP) server for ComfyUI: give it a prompt, get an image back. Works with a local or remote ComfyUI instance.

View on npm ↗ Raw report (JSON) ↗
Trust grade
A
98/100
Last scanned get badge →
Trust
A · 98/100
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 = 98/100

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 − 2 = 98. 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
−2 publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read

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 6

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

  • dressup_flux2kleinno sensitive capability
  • edit_imageno sensitive capability
  • generate_imageno sensitive capability
  • generate_walkway_videono sensitive capability
  • generate_wan22_videono sensitive capability
  • get_resultno 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
v2.7.1 latest A 98/100 0 1.13.0 2026-09-07
v2.7.0 A 98/100 0 1.12.1 2026-08-17
v2.6.8 A 98/100 0 1.12.1 2026-08-16

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 · 98/100
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 @bachstudio/comfyui-mcp-server --online

Use the free API → How scoring works

Other implementations of Comfyui 4

Independent packages implementing the same tool, scanned with the same engine. Compare all 5 side by side →

Comfyui (ModdingFox) PyPI
A
comfyui-mcp

Security scan results for the Comfyui (ModdingFox) MCP server.

Design & Media Score 99/100 0 findings Cap. Minimal
Comfyui (miller-joe) Source verified npm
A
@miller-joe/comfyui-mcp

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AI & Agents Score 97/100 0 findings 148/wk Cap. Moderate
Comfyui (peleke.s) Source verified npm
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@peleke.s/comfyui-mcp

40-tool MCP server for ComfyUI: image generation, ControlNet, IP-Adapter, inpainting, TTS voice cloning, lip-sync video, and AnimateDiff — with smart prompt optimization across 6 model families (Flux, SDXL, SD1.5, Illustrious, Pony, Realistic).

Design & Media Score 94/100 1 finding 48/wk Cap. High
Comfyui (artokun) Source verified npm
C
comfyui-mcp

Local-first, agent-native control plane for ComfyUI — MCP server + autonomous sidebar agent that drives your live graph in natural language on ANY LLM: Claude/ChatGPT/Gemini on your subscription (no API key), free local models via Ollama (fully offline),

Communication & Collaboration Score 78/100 18 findings 142k/wk Cap. Critical

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