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Generate and evolve ideas with LLMs using genetic algorithms and multi-objective scoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "genetic-mcp" yet — see the docs or source repo.
Use genetic-mcp to generate 30 product ideas for a time-management app for university students. Score them by feasibility, differentiation, and business potential, run 5 generations, and return the top 5 ideas with scoring reasons.
A ranked list of evolved product ideas with quality improvements, scoring dimensions, and selection reasons.
Use genetic-mcp to generate research hypotheses on the impact of remote work on team innovation. Evaluate by novelty, testability, and academic value, apply crossover and mutation, and output the best 10 hypotheses.
A refined set of clear, testable, high-value hypotheses with optimization and selection rationale.
Use genetic-mcp to create 20 advertising copy angles for an eco-friendly water bottle. Optimize across appeal, brand fit, and conversion potential for 4 generations, then output the best directions with sample headlines.
An iteratively improved set of marketing copy angles with sample headlines and multi-objective scores.
Create, tweak, and capture generative art across multiple graphics engines.
Search, browse, and retrieve information from GenLayer documentation.
Search prompts, enhance them, and generate images or videos in MCP hosts.
Generate visual designs with multi-model image workflows and prompt orchestration.
Expand queries and search Google Drive knowledge for structured creative context.
Turn CVs and projects into MCP tools for querying and job matching.