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Local GPU Imagegen

PYPI · LOCAL-GPU-IMAGEGEN · SCANNED SEP 21

MCP-first control plane for ComfyUI workflows with explicit approvals and no silent downloads.

Available components

+19 this week 65 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Install-script risk not yet assessed.Unverified
  • 2 of 13 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
Schema Quality & AI Usability58
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 1622 tokens (~95/item across 17 items; 17 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management70
  • Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage74
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 8% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "local_gpu_finalize_run" implies "publish" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Install

How do I install the Local GPU Imagegen MCP server?

Local GPU Imagegen runs locally as a PyPI package, launched with uvx local-gpu-imagegen. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · local-gpu-imagegen

# add to Claude Code
claude mcp add chevalgrand520-local-gpu-imagegen -- uvx local-gpu-imagegen
// .cursor/mcp.json
{
  "mcpServers": {
    "chevalgrand520-local-gpu-imagegen": {
      "command": "uvx",
      "args": [
        "local-gpu-imagegen"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "chevalgrand520-local-gpu-imagegen": {
      "command": "uvx",
      "args": [
        "local-gpu-imagegen"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add chevalgrand520-local-gpu-imagegen -- uvx local-gpu-imagegen
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "chevalgrand520-local-gpu-imagegen": {
      "type": "local",
      "command": [
        "uvx",
        "local-gpu-imagegen"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add chevalgrand520-local-gpu-imagegen --command uvx --arg local-gpu-imagegen
# ~/.hermes/config.yaml
mcp_servers:
  chevalgrand520-local-gpu-imagegen:
    command: "uvx"
    args: ["local-gpu-imagegen"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "chevalgrand520-local-gpu-imagegen": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "local-gpu-imagegen"
      ]
    }
  }
}
# add to Vellum
assistant mcp add chevalgrand520-local-gpu-imagegen -t stdio -c uvx -a local-gpu-imagegen
// mcp.json
{
  "mcpServers": {
    "chevalgrand520-local-gpu-imagegen": {
      "command": "uvx",
      "args": [
        "local-gpu-imagegen"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 21 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +16
    • Malware scan: unverified → pass security
  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +15
    • Malware scan: unverified → pass security
  • 11 Sept 26 −14
    • Malware scan: pass → unverified security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 21 Sept 2026 · Analysed pypi/local-gpu-imagegen@0.9.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Dependencies 13 packages
Packages resolved 13
Stale 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 17 exposed · ~1,622 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
local_gpu_branch_run ~73

Create an immutable child revision run from one reviewed parent round.

NameTypeReqDescription
contractobjectyes
denoising_strengthnumber
edit_modestringyes
max_roundsintegeryes
parent_roundintegeryes
parent_run_idstringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_cleanup_run ~58

Remove run intermediates or a fully confirmed run directory.

NameTypeReqDescription
confirmationstringyesExact run_id required to authorize cleanup; scope all removes the complete run directory.
run_idstringyes
scopestringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_confirm_mask ~36

Confirm an unchanged prepared mask after explicit overlay approval.

NameTypeReqDescription
mask_idstringyes
run_idstringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_discover_models ~143

Plan or execute bounded local model discovery without loading model weights.

NameTypeReqDescription
authorization_idstring
backendsarray
confirmationstringExact confirmation token returned by the matching discovery plan; required before filesystem access.
expected_backend_model_idstring
explicit_includesarray
modestring
network_confirmationstringExact separately displayed confirmation authorizing network verification for this unchanged plan.
phasestringyes
plan_idstring
rootsarray
selected_candidatesarray
stagestring

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_finalize_run ~81

Publish the selected reviewed round as the run's final PNG.

NameTypeReqDescription
confirmationstringyesExact finalize:<run_id>:<round_number>:<image_sha256> value previously displayed to the user.
postprocessobject
round_numberintegeryes
run_idstringyes
summarystringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_generate_image ~235

Compatibility tool for WebUI or Diffusers image generation; not for ComfyUI routes and never a bypass for the confirmed high-level run workflow.

NameTypeReqDescription
allow_cpuboolean
allow_downloadboolean
backendstring
cpu_offloadboolean
disable_safety_checkerboolean
filenamestring
guidance_scalenumber
heightinteger
input_imagestring
loraarray
lora_scalenumber
mask_imagestring
modestring
modelstring
negative_promptstring
output_dirstring
promptstringyes
sampler_namestring
schedulerstring
seedinteger
stepsinteger
strengthnumber
vae_tilingboolean
webui_urlstring
widthinteger
NameTypeReqDescription
backendstringyes
modestringyes
okbooleanyes
pathstringyes

No examples provided.

local_gpu_generate_round ~138

Generate one root or immutable revision round and return an optional bounded JPEG preview. Construct the plan from the frozen run returned by local_gpu_get_run, copying every confirmed route, identity, workflow, compiler, policy, and budget field.

NameTypeReqDescription
actionstringyes
change_summarystringyes
edit_modestringyes
idempotency_keystringyesCaller-chosen key for safely retrying the same round request; reuse with different inputs is rejected.
mask_idstring
planobjectyes
run_idstringyes
seedintegeryes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_get_run ~30

Get the current persisted state of a visual-asset run.

NameTypeReqDescription
run_idstringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_imagegen_check ~23

Check Python packages and CUDA readiness for local GPU image generation.

Input schema present but exposes no named parameters.

NameTypeReqDescription
bootstrapobject
diffusers_readyboolean
readybooleanyes
webui_readyboolean

No examples provided.

local_gpu_inspect_workflow ~41

Inspect one local ComfyUI API workflow and infer a safe ordinary txt2img binding without writing state.

NameTypeReqDescription
workflow_pathstringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_list_profiles ~30

List registered visual-asset profiles and current local backend capabilities.

NameTypeReqDescription
authorization_scopestring

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_prepare_mask ~57

Prepare an unconfirmed child-run inpaint mask and return its JPEG overlay.

NameTypeReqDescription
feather_pixelsinteger
geometryarray
run_idstringyes
user_mask_pathstring

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_recommend_models ~168

Recommend one exact confirmed-capability route and at most two alternatives. preferred_model_id must be an exact catalog ID. Requires prior api_only discovery and model trust (local_gpu_discover_models then local_gpu_set_model_trust). Display the selected route and start_run_boundary, then wait for later user confirmation before local_gpu_start_run.

NameTypeReqDescription
affinity_tagsarrayyes
authorization_scopestringyes
heightintegeryes
operationstringyes
preferred_model_idstring|nullyes
profilestringyes
regional_layoutobject
required_vram_gbnumber|nullyes
stylestring|nullyes
two_stage_layoutobject
widthintegeryes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_record_review ~100

Record human or model review evidence for one generated round.

NameTypeReqDescription
constraint_resultsobjectyes
critiquestringyes
hard_failuresarrayyes
next_actionstringyes
preservation_resultsarray
round_numberintegeryes
run_idstringyes
scoresobjectyes
stage_checksobject
visual_checksobjectyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_register_workflow ~51

Recheck and immutably register one exact previously inspected ComfyUI workflow proposal.

NameTypeReqDescription
confirmationstringyes
proposal_digeststringyes
workflow_pathstringyes

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_set_model_trust ~196

Inspect, approve, or revoke one exact current local model identity. A trust mutation requires the exact confirmation previously returned for the same mutation boundary, displayed to the user, and repeated in a later user message.

NameTypeReqDescription
actionstringyesTrust operation to inspect, approve, or revoke for the exact supplied identity.
capabilitiesobject
catalog_idstring
component_identity_tokensarray
confirmationstringExact confirmation string returned for this mutation and repeated in a later user message.
identity_tokenstringyesExact model identity token returned by discovery or workflow inspection.
preferenceinteger
public_metadataobject
registered_workflow_idstring
two_stage_layoutobject
workflow_bindingobject
workflow_pathstring
workflow_template_idstring

Structured output declared, but exposes no named fields.

No examples provided.

local_gpu_start_run ~162

Create a visual-asset run only after later user confirmation; copy start_run_boundary exactly from the previously displayed recommendation and add the remaining run fields.

NameTypeReqDescription
authorization_scopestringyes
backendstringyes
constraintsobjectyes
initial_regional_conditioningobject
initial_two_stage_conditioningobject
intentstringyes
max_roundsintegeryes
model_choicestringyes
profilestringyes
route_tokenstringyesOpaque recommendation token binding the model, workflow, backend, dimensions, and authorization scope.
stylestring|nullyes
subtypestringyes
upscale_policystringyes

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the Local GPU Imagegen MCP server?

Local GPU Imagegen is an MCP server listed in the public MCP registry as io.github.ChevalGrand520/local-gpu-imagegen. MCP-first control plane for ComfyUI workflows with explicit approvals and no silent downloads. This page covers its PyPI package (local-gpu-imagegen).

Is the Local GPU Imagegen MCP server safe to use?

Local GPU Imagegen scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Local GPU Imagegen MCP server expose?

Local GPU Imagegen exposes 17 tools: local_gpu_imagegen_check, local_gpu_generate_image, local_gpu_discover_models, local_gpu_inspect_workflow, local_gpu_register_workflow, and 12 more. Their descriptions and schemas cost roughly 1,622 tokens of context every time the server is loaded.

Is the Local GPU Imagegen MCP server still maintained?

Local GPU Imagegen is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.