Subaru486desuwa

Subaru486desuwa / micu-image-mcp

Public

MCP server wrapping 米醋 gpt-image-2 / gpt-image-2-pro proxy. One-click install for Claude Code / Codex / Cursor.

10
0
100% credibility
Found May 12, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project creates a bridge that lets AI coding tools like Claude Code and Codex generate, edit, batch process, and fuse images from the micuapi.ai service using everyday chat commands.

How It Works

1
🔍 Discover the image maker

You hear about a handy tool that lets your AI chat buddy create and edit pictures just by chatting normally.

2
📥 Grab the setup helper

Download the project and run its friendly one-click setup script that checks everything and guides you gently.

3
🔗 Share your picture service details

The setup asks for your AI picture service login and where to save your new images, keeping everything safe and simple.

4
🔄 Refresh your AI chat

Close and reopen your AI coding helper app so it notices the new picture-making powers.

5
💬 Chat to create art

Just tell your AI friend in plain words like 'draw a cyberpunk cat in 4K' or 'edit this photo's background to a beach' and it handles the rest automatically.

6
🖼️ Watch magic happen

Your AI picks the best way to make the picture, tries again if needed, and saves beautiful images right to your chosen folder.

🎉 Enjoy your new images

Now you have custom artwork, edited photos, or fused creations ready to use, all from easy conversations with your AI.

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AI-Generated Review

What is micu-image-mcp?

This Python MCP server wraps the Micu API's gpt-image-2 and gpt-image-2-pro endpoints, letting Claude Code, Codex, or Cursor generate images from text, edit single images with masks, batch-edit multiples, or fuse references into new ones. Developers get one-click install via a script that sets up dependencies, configures client files like ~/.claude.json, and handles API keys—turning natural prompts like "paint a 4K cyberpunk cat" into saved PNGs without manual endpoint wrangling. It auto-manages sizing tiers (1K/2K/4K), retries, and concurrency for stable output in AI coding flows.

Why is it gaining traction?

Unlike raw API calls, it abstracts Micu quirks like size compression under 2.25MP, CF timeouts on 4K edits, and pro-model queuing into LLM-friendly tools—query server_info first for routing rules. The install script targets mcp server claude setups in VSCode or Cursor, skipping boilerplate for mcp github copilot vscode users, with env vars for proxies and mirrors. Cross-platform safety (path locks, file validation) and fallback paths make it reliable for mcp server examples in Python workflows.

Who should use this?

AI coding enthusiasts in Claude Code or Cursor building UIs with on-the-fly icons, prototyping game assets, or docs with visuals—think frontend devs generating SVGs via text in VSCode. It fits mcp server ai integrations for Home Assistant dashboards or n8n automations needing images. Python scripters evaluating mcp github python for Claude-assisted design loops.

Verdict

Grab it if you're in the mcp server claude ecosystem and need quick image tools—docs cover mcp server erstellen and constraints thoroughly. At 10 stars and 1.0% credibility, it's early-stage with no tests visible, so test in a sandbox before production.

(198 words)

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