Comfyui Easy MCP Server

comfyui-easy-mcp PyPI v0.2.1

Published by io-ateliertech — 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 for ComfyUI workflow automation by IO-AtelierTech

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 31

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

  • add_nodeno sensitive capability
  • cancel_currentno sensitive capability
  • clear_queueno sensitive capability
  • convert_workflow_to_uino sensitive capability
  • create_workflowno sensitive capability
  • execute_workflowno sensitive capability
  • generate_imageno sensitive capability
  • generate_workflow_nameno sensitive capability
  • get_historyno sensitive capability
  • get_node_infono sensitive capability
Show 21 more tools ↓
  • get_prompt_statusno sensitive capability
  • get_queue_statusno sensitive capability
  • get_result_imageno sensitive capability
  • get_system_statsno sensitive capability
  • get_workflow_templateno sensitive capability
  • list_embeddingsno sensitive capability
  • list_extensionsno sensitive capability
  • list_model_foldersno sensitive capability
  • list_modelsno sensitive capability
  • list_nodesno sensitive capability
  • list_templatesno sensitive capability
  • list_workflowsno sensitive capability
  • load_workflowno sensitive capability
  • refresh_nodesno sensitive capability
  • remove_nodeno sensitive capability
  • run_workflowno sensitive capability
  • save_workflowno sensitive capability
  • search_nodesno sensitive capability
  • submit_workflowno sensitive capability
  • update_node_inputno sensitive capability
  • validate_workflowno 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
v0.2.1 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
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 comfyui-easy-mcp --online --registry pypi

Use the free API → How scoring works

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