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OpenAI Image

NPM · @MINDSTONE/MCP-SERVER-OPENAI-IMAGE · SCANNED AUG 4

OpenAI image generation MCP server for Model Context Protocol hosts

+47 this week 75 Trust /100
Trust breakdown (6 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 →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency84
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to mindstone/mcp-servers). View diagnostics → Pass
  • License check failed: the license (FSL-1.1-MIT) isn't a recognized OSI-approved license. See how to fix → Fail
  • Actively maintained (last published 9 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability64
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 319 tokens (~159/item across 2 items; 2 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 Management27
  • Stability observed for 8 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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @mindstone/mcp-server-openai-image

# add to Claude Code
claude mcp add mindstone-mcp-server-openai-image -- npx -y @mindstone/mcp-server-openai-image
# add to Codex CLI
codex mcp add mindstone-mcp-server-openai-image -- npx -y @mindstone/mcp-server-openai-image
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mindstone-mcp-server-openai-image": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@mindstone/mcp-server-openai-image"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mindstone-mcp-server-openai-image --command npx --arg -y --arg @mindstone/mcp-server-openai-image
# ~/.hermes/config.yaml
mcp_servers:
  mindstone-mcp-server-openai-image:
    command: "npx"
    args: ["-y", "@mindstone/mcp-server-openai-image"]
// mcp.json
{
  "mcpServers": {
    "mindstone-mcp-server-openai-image": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-openai-image"
      ]
    }
  }
}
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.

  • 4 Aug 26 +4
    • Stability: unverified → 0.27 functional
  • 3 Aug 26 +51
    • Install scripts: unverified → pass security
    • Provenance: unverified → pass security
    • Known CVEs: unverified → partial security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • The attested source repository moved: mindstone/mcp-servers security
    • License: unverified → fail functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • Tool coverage: unverified → 100 functional
    • Licence: FSL-1.1-MIT functional
  • 2 Aug 26 −1
    • Malware scan: unverified → pass security
    • Tool coverage: 100 → unverified functional
    • First check of Schema quality: unverified functional
  • 31 Jul 26 −7
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 28

    First indexed and scored.

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 4 Aug 2026 · Analysed npm/@mindstone/[email protected]

Provenance verified

Ecosystem: npm · Outcome: verified

Reason: verified

Source repo:
mindstone/mcp-servers
Certificate issuer:
https://token.actions.githubusercontent.com
Certificate SAN:
https://github.com/mindstone/mcp-servers/.github/workflows/release.yml@refs/heads/main
Rekor log index:
2251029596
Predicate type:
https://slsa.dev/provenance/v1
Subject digest:
sha512:4738814ff98438e51aedf2b541758afcea94bd0e5943d7aa7e499c2147dea7b3aa40caf2095f8c56b3245f86a14a183f907ccc547119fc038f87a53f5
Discovery method:
attestation_endpoint
Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 2 exposed · ~319 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.

Tool Tokens
edit_image ~167

Edit one or more existing images with OpenAI image editing and save outputs to your workspace.

NameTypeReqDescription
countintegerHow many output images to generate (1-8).
image_pathsarrayyesAbsolute or workspace-relative paths to reference images. PNG/JPEG/WEBP only.
mask_pathstringOptional PNG mask. Transparent areas define the edit region.
moderationstringContent moderation strictness.
promptstringyesWhat to change in the image. Describe the edit in plain language.
qualitystringOutput quality (defaults to high). Medium is usually about 50 seconds and $0.04; high can take up to 3 minutes and cost about $0.21.
sizestringOutput dimensions.

No output schema declared.

No examples provided.

generate_image ~152

Generate one or more images using OpenAI's gpt-image-2 family and save outputs to your workspace.

NameTypeReqDescription
countintegerHow many images to generate (1-8). Cost multiplies by count.
moderationstringContent moderation strictness.
promptstringyesText description of the image to generate
qualitystringImage quality (defaults to high). Medium is usually about 50 seconds and $0.04; high can take up to 3 minutes and cost about $0.21.
sizestringImage dimensions: square (1024x1024), portrait (1024x1536), landscape (1536x1024)

No output schema declared.

No examples provided.