Local GPU Imagegen
PYPI · LOCAL-GPU-IMAGEGEN
MCP-first control plane for ComfyUI workflows with explicit approvals and no silent downloads.
Available components
Last scanned (1 day ago)
Scores higher than 67% of PyPI servers
Category Design and Media
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 1 of 13 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency23
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 64 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability61
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 1433 tokens (~84/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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- 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
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.
- 4 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 1 Nov 26 +1
- Stability: 0.97 → pass security
- 31 Oct 26 −1
- Stability: pass → 0.97 functional
- 25 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 24 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 23 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 19 Oct 26 +1
- Stability: 0.97 → pass security
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 4 Nov 2026 · Analysed pypi/local-gpu-imagegen@0.9.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Dependencies 13 packages
| Packages resolved | 13 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
local_gpu_branch_run ~73
Create an immutable child revision run from one reviewed parent round.
| Name | Type | Req | Description |
|---|---|---|---|
| contract | object | yes | – |
| denoising_strength | number | – | – |
| edit_mode | string | yes | – |
| max_rounds | integer | yes | – |
| parent_round | integer | yes | – |
| parent_run_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_cleanup_run ~43
Remove run intermediates or a fully confirmed run directory.
| Name | Type | Req | Description |
|---|---|---|---|
| confirmation | string | yes | – |
| run_id | string | yes | – |
| scope | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| mask_id | string | yes | – |
| run_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_discover_models ~117
Plan or execute bounded local model discovery without loading model weights.
| Name | Type | Req | Description |
|---|---|---|---|
| authorization_id | string | – | – |
| backends | array | – | – |
| confirmation | string | – | – |
| expected_backend_model_id | string | – | – |
| explicit_includes | array | – | – |
| mode | string | – | – |
| network_confirmation | string | – | – |
| phase | string | yes | – |
| plan_id | string | – | – |
| roots | array | – | – |
| selected_candidates | array | – | – |
| stage | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_finalize_run ~60
Publish the selected reviewed round as the run's final PNG.
| Name | Type | Req | Description |
|---|---|---|---|
| confirmation | string | yes | – |
| postprocess | object | – | – |
| round_number | integer | yes | – |
| run_id | string | yes | – |
| summary | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| allow_cpu | boolean | – | – |
| allow_download | boolean | – | – |
| backend | string | – | – |
| cpu_offload | boolean | – | – |
| disable_safety_checker | boolean | – | – |
| filename | string | – | – |
| guidance_scale | number | – | – |
| height | integer | – | – |
| input_image | string | – | – |
| lora | array | – | – |
| lora_scale | number | – | – |
| mask_image | string | – | – |
| mode | string | – | – |
| model | string | – | – |
| negative_prompt | string | – | – |
| output_dir | string | – | – |
| prompt | string | yes | – |
| sampler_name | string | – | – |
| scheduler | string | – | – |
| seed | integer | – | – |
| steps | integer | – | – |
| strength | number | – | – |
| vae_tiling | boolean | – | – |
| webui_url | string | – | – |
| width | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| backend | string | yes | – |
| mode | string | yes | – |
| ok | boolean | yes | – |
| path | string | yes | – |
No examples provided.
local_gpu_generate_round ~88
Generate one root or immutable revision round and return an optional bounded JPEG preview.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | – |
| change_summary | string | yes | – |
| edit_mode | string | yes | – |
| idempotency_key | string | yes | – |
| mask_id | string | – | – |
| plan | object | yes | – |
| run_id | string | yes | – |
| seed | integer | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| run_id | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| bootstrap | object | – | – |
| diffusers_ready | boolean | – | – |
| ready | boolean | yes | – |
| webui_ready | boolean | – | – |
No examples provided.
local_gpu_inspect_workflow ~41
Inspect one local ComfyUI API workflow and infer a safe ordinary txt2img binding without writing state.
| Name | Type | Req | Description |
|---|---|---|---|
| workflow_path | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| authorization_scope | string | – | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| feather_pixels | integer | – | – |
| geometry | array | – | – |
| run_id | string | yes | – |
| user_mask_path | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_recommend_models ~146
Recommend one exact confirmed-capability route and at most two alternatives. preferred_model_id must be an exact catalog ID. Display the selected route and start_run_boundary, then wait for later user confirmation before local_gpu_start_run.
| Name | Type | Req | Description |
|---|---|---|---|
| affinity_tags | array | yes | – |
| authorization_scope | string | yes | – |
| height | integer | yes | – |
| operation | string | yes | – |
| preferred_model_id | string|null | yes | – |
| profile | string | yes | – |
| regional_layout | object | – | – |
| required_vram_gb | number|null | yes | – |
| style | string|null | yes | – |
| two_stage_layout | object | – | – |
| width | integer | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| constraint_results | object | yes | – |
| critique | string | yes | – |
| hard_failures | array | yes | – |
| next_action | string | yes | – |
| preservation_results | array | – | – |
| round_number | integer | yes | – |
| run_id | string | yes | – |
| scores | object | yes | – |
| stage_checks | object | – | – |
| visual_checks | object | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| confirmation | string | yes | – |
| proposal_digest | string | yes | – |
| workflow_path | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_set_model_trust ~158
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.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | – |
| capabilities | object | – | – |
| catalog_id | string | – | – |
| component_identity_tokens | array | – | – |
| confirmation | string | – | – |
| identity_token | string | yes | – |
| preference | integer | – | – |
| public_metadata | object | – | – |
| registered_workflow_id | string | – | – |
| two_stage_layout | object | – | – |
| workflow_binding | object | – | – |
| workflow_path | string | – | – |
| workflow_template_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
local_gpu_start_run ~145
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.
| Name | Type | Req | Description |
|---|---|---|---|
| authorization_scope | string | yes | – |
| backend | string | yes | – |
| constraints | object | yes | – |
| initial_regional_conditioning | object | – | – |
| initial_two_stage_conditioning | object | – | – |
| intent | string | yes | – |
| max_rounds | integer | yes | – |
| model_choice | string | yes | – |
| profile | string | yes | – |
| route_token | string | yes | – |
| style | string|null | yes | – |
| subtype | string | yes | – |
| upscale_policy | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
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
claude mcp add zc4578980-tech-local-gpu-imagegen -- uvx local-gpu-imagegen
What is the Local GPU Imagegen MCP server?
Local GPU Imagegen is an MCP server listed in the public MCP registry as io.github.zc4578980-tech/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 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. It declares no install or post-install scripts. 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 1,433 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 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Local GPU Imagegen MCP server under?
Local GPU Imagegen declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.