image-gen-mcp — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by lansespirit · MCP Server · ★ 67

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is image-gen-mcp safe to install? View the security audit →

About image-gen-mcp

Image Gen MCP Server Empowering Universal Image Generation for AI Chatbots Traditional AI chatbot interfaces are limited to text-only interactions, regardless of how powerful their underlying language models are. Image Gen MCP Server bridges this gap by enabling any LLM-powered chatbot client to generate professional-quality images through the standardized Model Context Protocol (MCP). Whether you're using Claude Desktop, a custom ChatGPT interface, Llama-based applications, or any other LLM client that supports MCP, this server democratizes access to multiple AI image generation models including OpenAI's gpt-image-2, gpt-image-1.5, gpt-image-1, dall-e-3, dall-e-2, and Google's Imagen series (imagen-4, imagen-4-ultra, imagen-4-fast, imagen-3), transforming text-only conversations into rich, visual experiences. 📦 Package Manager: This project uses UV for fast, reliable Python package management. UV provides better dependency resolution, faster installs, and proper environment isolation compared to traditional pip/venv workflows.

gpt-image-1imagenmcp-servernano-bananatext-to-image

Quick Facts

Stars67
Forks16
LanguagePython
CategoryMCP Server
Quality Score72.1093603030113/100
Open Issues2
Last Updated2026-04-25
Created2025-07-08
Platformsgemini, mcp, python
Est. Tokens~386k

Compatible Skills

These tools work well together with image-gen-mcp for enhanced workflows:

  • Ultimate-AI-Media-Generator-Skill — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • bria-skill — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claude-prompts — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

image-gen-mcp alternative? Top 5 similar tools

Looking for a image-gen-mcp alternative? If you're comparing image-gen-mcp with other mcp server tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • gflow-cli by ffroliva · ⭐ 219

    Drive Google Flow from the command line: Veo video and Imagen images, scripted, batched and pipeline-ready. Sh

  • mcp-image by shinpr · ⭐ 161

    MCP server for AI image generation and editing with automatic prompt optimization and quality presets. Support

  • z-image-studio by iconben · ⭐ 128

    A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turb

  • gemini-watermark-remover by dearabhin · ⭐ 242

    A high-performance, 100% client-side tool for removing the visible Google Gemini ✦ AI sparkle watermark from b

  • texel-studio by EYamanS · ⭐ 154

    AI pixel art agent that paints like a real artist. Not diffusion — actual tool-based painting with shapes, noi

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Frequently Asked Questions

What is image-gen-mcp?

image-gen-mcp is An MCP server that integrates with gpt-image-1 & Gemini imagen4 model for text-to-image generation services. It is categorized as a MCP Server with 67 GitHub stars.

What programming language is image-gen-mcp written in?

image-gen-mcp is primarily written in Python. It covers topics such as gpt-image-1, imagen, mcp-server.

How do I install or use image-gen-mcp?

You can find installation instructions and usage details in the image-gen-mcp GitHub repository at github.com/lansespirit/image-gen-mcp. The project has 67 stars and 16 forks, indicating an active community.

What are the best alternatives to image-gen-mcp?

The top alternatives to image-gen-mcp on Agent Skills Hub include gflow-cli, mcp-image, z-image-studio. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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