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mcp-image

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Eliminates manual prompt engineering for image generation by auto-optimizing requests, reducing iteration cycles and lowering cost through tiered quality pre…

MCP server for AI image generation and editing with automatic prompt optimization and quality presets (fast/balanced/quality). Powered by Gemini (Nano Banana 2 & Pro).

150 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates manual prompt engineering for image generation by auto-optimizing requests, reducing iteration cycles and lowering cost through tiered quality presets. Integrates Gemini models directly into Claude workflows for on-demand visual asset creation.

Teams needing rapid image generation within AI workflows—product designers prototyping UI mockups, content creators bulk-generating variations, or developers embedding image synthesis into applications.

Claude Code Claude Cowork Claude Chat

https://github.com/shinpr/mcp-image

By shinpr

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add mcp-image -- npx -y mcp-image

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me auto-generate product mockup variations from text descriptions
PrerequisitesGoogle Gemini API key (default provider — Nano Banana 2 / Nano Banana Pro); or an OpenAI API key when IMAGE_PROVIDER=openai. API usage is billed by the provider.CostFree

Trust Signals Auto-scanned

Stars150Contributors3Last updated2026-08-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 150 GitHub stars; 3 contributors; last commit 13d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
4/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedAug 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 150 GitHub stars; 3 contributors; last commit 13d ago; license MIT.

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