io.github.shinpr/mcp-image
NPM · MCP-IMAGE · SCANNED SEP 20
AI image generation and editing with prompt optimization and quality presets
Available components
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
- 48 of 136 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 11 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability69
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 477 tokens (~477/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 Management93
- Stability observed for 28 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
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
{
"mcpServers": {
"shinpr-mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
]
}
}
} {
"servers": {
"shinpr-mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
]
}
}
} codex mcp add shinpr-mcp-image -- npx -y mcp-image
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"shinpr-mcp-image": {
"type": "local",
"command": [
"npx",
"-y",
"mcp-image"
],
"enabled": true
}
}
} openclaw mcp add shinpr-mcp-image --command npx --arg -y --arg mcp-image
mcp_servers:
shinpr-mcp-image:
command: "npx"
args: ["-y", "mcp-image"] {
"McpServers": {
"shinpr-mcp-image": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"mcp-image"
]
}
}
} assistant mcp add shinpr-mcp-image -t stdio -c npx -a -y mcp-image
{
"mcpServers": {
"shinpr-mcp-image": {
"command": "npx",
"args": [
"-y",
"mcp-image"
]
}
}
} 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.
- 20 Sept 26 +1
- Security disclosure: fail → unverified ▼ functional
- Package version: 0.12.2 → 0.14.0 functional
- 19 Sept 26 −2
- Stability: pass → 0.90 functional
- Package version: 0.12.2 → 0.14.0 functional
- 18 Sept 26 +1
- Stability: 0.97 → pass security
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 +1
- Security disclosure: unverified → fail ▼ functional
- 12 Sept 26 −3
- Security disclosure: fail → unverified ▼ functional
- Stability: pass → 0.80 functional
- 11 Sept 26 +1
- Stability: 0.97 → pass security
- 9 Sept 26 +16
- Malware scan: unverified → 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 20 Sept 2026 · Analysed npm/mcp-image@0.14.0
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 136 packages
| Packages resolved | 136 |
|---|---|
| Deprecated | 1 |
| Stale | 47 |
| 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 ~477
Generate a new image from a text prompt or edit an existing image using inputImagePath. Saves the result and returns a file resource.
| 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. |
| 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. |
| inputImagePath | string | – | Provide an absolute path to a source image when editing, creating a variation, or transferring style. |
| maintainCharacterConsistency | boolean | – | Enable when the same character must retain a recognizable appearance across poses or scenes. |
| prompt | string | yes | Describe the image to generate or the edit to apply. Include the subject, context, and visual style; English is recommended for prompt enhancement. |
| 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 | – | Describe the image's intended use, such as a cookbook cover, social media post, or presentation slide, so prompt enhancement can adapt composition and detail. |
| 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.
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 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 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 477 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 20 September 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.