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mcp-image

Connector Development Usable

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).

110 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.

CostFree

Trust Signals Auto-scanned

Stars110Last updated2026-05-18LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

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

Community Pulse Active

Discussed on Hacker News, Reddit

12 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 110 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 110 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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