Iterative Refinement

ClaudeCommunityby Reasoning.services

The Iterative Refinement MCP server allows you to systematically improve text, ideas, or algorithms through continuous self-evaluation. It avoids standard LLM timeouts by breaking the refinement process into discrete, trackable steps. **Key Features:** * **Iterative Refinement:** Follows a structured Draft → Critique → Revise → Converge workflow. * **Mathematical Convergence:** Uses cosine similarity to measure when refinement is complete, ensuring optimal results without endless loops. * **Domain-Specific Optimization:** Auto-detects and optimizes for technical, marketing, strategy, legal, and financial domains. * **Progress Visibility:** Each step returns immediately, allowing for real-time UI updates and transparent progress tracking. * **Parallel Processing:** Supports multiple concurrent refinement sessions and parallel critiques per iteration. * **AI-Friendly Error Handling:** Provides actionable diagnostics and recovery hints directly to your AI assistant.