io.github.shinpr/mcp-image
NPM · MCP-IMAGE
AI image generation and editing with prompt optimization and quality presets
Available components
Last scanned (10 hours ago)
Scores higher than 58% of npm 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 Security98
- 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
- 47 of 133 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- 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 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability61
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 665 tokens (~665/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management73
- Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 1 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
- 5 Nov 26 −3
- Stability: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Stability: pass → 0.73 functional
- Package version: 0.18.4 → 0.19.0 functional
- 4 Nov 26 +14
- Malware scan: unverified → pass ▲ security
- Schema quality: 595 → 665 ▼ functional
- Package version: 0.18.3 → 0.18.4 functional
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- Schema quality: 500 → 595 ▼ functional
- Package version: 0.18.2 → 0.18.3 functional
- 30 Oct 26 0
- Stability: 0.97 → pass security
- 29 Oct 26 0
- Stability: pass → 0.97 functional
- 23 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 22 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Stability: pass → 0.97 functional
- Package version: 0.18.0 → 0.18.2 functional
- Package version: 0.18.0 → 0.18.1 functional
- 16 Oct 26 0
- 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 5 Nov 2026 · Analysed npm/mcp-image@0.19.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 133 packages
| Packages resolved | 133 |
|---|---|
| Deprecated | 1 |
| Stale | 46 |
| 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 →
generate_image ~665
Generate a new image from a text prompt or edit and combine reference images using inputImagePaths. Saves the result and returns a file resource. Prompt enhancement expands these arguments into the final image prompt without seeing the conversation, filling in the details they leave open, so pass the user's intent as they gave it; anything you add is expanded too. When a guess at the image's purpose or style would likely miss what the user needs, ask them first.
| Name | Type | Req | Description |
|---|---|---|---|
| aspectRatio | string | – | Set the requested output aspect ratio. Omit to use the provider default. OpenAI does not support 1:4, 1:8, 4:1, or 8:1. |
| blendImages | boolean | – | Enable when the prompt combines multiple visual elements that need coherent spatial relationships, lighting, or composition. |
| category | string | – | Set when the kind of image is clear from the request, so prompt enhancement uses only that kind's guidance: photo, illustration, asset (icon, logo, sticker, or isolated object), ui-screen (app or web… |
| fileName | string | – | Use .png, .jpg, or .jpeg to request that output format from OpenAI or Seedream. Other or absent suffixes use the provider default; the saved filename is corrected to the actual image extension. |
| imageSize | string | – | Set the requested output size to 1K, 2K, or 4K. Omit to use the selected provider and quality preset's default. With Seedream, use 1K or 2K. |
| inputImagePaths | array | – | Absolute paths to reference images in prompt order. Use a one-element array for one image. Limits: Gemini 14, OpenAI 16, Seedream 10. Omit for text-only generation. |
| maintainCharacterConsistency | boolean | – | Enable when the same character must retain a recognizable appearance across poses or scenes. |
| prompt | string | yes | The user's request, in English. Put text that should appear in the image in quotes, exactly and in its original language; no other text is added. |
| provider | string | – | Set only when the user requests a specific image provider; otherwise omit to use the server default. The provider must have its API key configured on the server. |
| purpose | string | – | What the image is for, such as a cookbook cover, social media post, or presentation slide. Prompt enhancement decides the medium, composition, tone, and finish from it, so set it whenever the user ha… |
| quality | string | – | Set only when the user requests a quality level; otherwise omit to use the server default. fast prioritizes speed, balanced trades speed for detail, and quality prioritizes fidelity. |
| useGoogleSearch | boolean | – | Enable when using Gemini and the image requires current or time-sensitive web information. With OpenAI or Seedream, omit this option or set it to false. |
| useWorldKnowledge | boolean | – | Enable when accurate real-world details matter, such as historical figures, landmarks, cultures, or factual settings. |
No output schema declared.
No examples provided.
How do I install the io.github.shinpr/mcp-image server?
io.github.shinpr/mcp-image runs locally as an npm package, launched with npx -y mcp-image. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · mcp-image
claude mcp add shinpr-mcp-image -- npx -y mcp-image
What is the io.github.shinpr/mcp-image server?
io.github.shinpr/mcp-image is listed in the public MCP registry as io.github.shinpr/mcp-image. AI image generation and editing with prompt optimization and quality presets. This page covers its npm package (mcp-image).
Is the io.github.shinpr/mcp-image server safe to use?
io.github.shinpr/mcp-image scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 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 io.github.shinpr/mcp-image server expose?
io.github.shinpr/mcp-image exposes 1 tool: generate_image. Their descriptions and schemas cost roughly 665 tokens of context every time the server is loaded.
Is the io.github.shinpr/mcp-image server still maintained?
io.github.shinpr/mcp-image is still listed as active in the MCP registry. We last reached this channel on 5 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 io.github.shinpr/mcp-image server under?
io.github.shinpr/mcp-image declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.