Prompt Auto-Optimizer
GEPA (Genetic Evolutionary Prompt Adaptation) MCP Server provides AI-powered prompt optimization through genetic algorithms, enabling automatic evolution and improvement of prompts across multiple generations. The implementation features multi-objective optimization using Pareto frontiers, trajectory recording for execution analysis, reflection-based failure diagnosis, and automated mutation strategies that adapt prompts based on performance feedback. Built for developers and researchers working with LLM applications, it's particularly valuable for optimizing prompts in production environments where prompt quality directly impacts user experience, such as customer service chatbots, code generation tools, and content creation systems.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Prompt Auto-Optimizer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.