MohamedAbdallah-14/prompt-to-asset
by Various
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.
MCP
MohamedAbdallah-14/prompt-to-asset
Added 1 June 2026
Overview
An MCP server and CLI for generating production-grade software assets such as logos, app icons, favicons, OG images, and illustrations. It routes prompts across 30+ image generation models, supports a zero-key mode for initial testing, and validates assets before output.
Best for
Best for
Developers who need to quickly generate multiple types of software assets from text prompts without manually switching between image services
Use cases
- Generate app icons from a prompt for a new project
- Create favicons and OG images for a website or web app
- Produce consistent illustrations across different image models
Notes
An MCP server and CLI for generating production-grade software assets such as logos, app icons, favicons, OG images, and illustrations. It routes prompts across 30+ image generation models, supports a zero-key mode for initial testing, and validates assets before output.
7 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Generate app icons from a prompt for a new project
- Create favicons and OG images for a website or web app
- Produce consistent illustrations across different image models
Pros
- Routes across 30+ models, giving flexibility in output style
- Zero-key mode lets you try the tool without setting up API keys
- Validates assets before final output, reducing bad results
Cons
- Very new project with only 7 stars and likely limited stability
- Depends on external image generation APIs that can fail or have costs
- Small community means less support and fewer examples
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Routes across 30+ models, giving flexibility in output style
- Zero-key mode lets you try the tool without setting up API keys
- Validates assets before final output, reducing bad results
Cons
- Very new project with only 7 stars and likely limited stability
- Depends on external image generation APIs that can fail or have costs
- Small community means less support and fewer examples
Pairs with
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