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by MerabyLabs • Uncategorized
An MCP server that refines and improves prompts using AI-powered prompt engineering tailored to your project context.
Refine prompts based on specific project context and feedback.
Analyze prompt quality and receive improvement suggestions.
Generate well-structured prompts from raw ideas tailored to their codebase.
PromptArchitect MCP server enhances your prompts by understanding your project's tech stack, structure, and dependencies, providing context-aware and iterative prompt refinement. It integrates seamlessly with various IDEs and applications supporting the Model Context Protocol without requiring an API key. Key features include prompt refinement, analysis, and generation, all designed to produce high-quality, project-specific prompts that improve developer productivity.
Transform a raw idea into a well-structured, actionable prompt optimized for AI assistants. Use this tool when you need to: • Create a new prompt from scratch • Structure a vague idea into a clear request • Generate role-specific prompts (coding, writing, research, etc.) Supports templates: coding (for programming tasks), writing (for content creation), research (for investigation), analysis (for data/business analysis), factcheck (for verification), general (versatile). IMPORTANT: When available, pass workspace context (file structure, package.json, tech stack) to generate prompts that align with the user's project.
Iteratively improve an existing prompt based on specific feedback. Use this tool when you need to: • Improve a prompt that didn't get good results • Add missing context or constraints • Make a prompt more specific or clearer • Adapt a prompt for a different AI model The tool preserves the original structure while applying targeted improvements. IMPORTANT: When available, pass workspace context (file structure, package.json, tech stack) to ensure refined prompts comply with the user's project scope and original request.
Evaluate prompt quality and get actionable improvement suggestions. Use this tool when you need to: • Assess if a prompt is well-structured • Identify weaknesses before using a prompt • Get specific suggestions for improvement • Compare prompt quality before/after refinement Returns scores (0-100) for: clarity, specificity, structure, actionability.
Get PromptArchitect server status and performance metrics. Use this tool to check: • Whether AI (Gemini) is available • Cache hit rate and request statistics • Average response latency • Auto-refine settings
Enable or disable automatic prompt refinement. When enabled, the AI assistant should automatically refine user prompts on every chat submission without requiring explicit "refine" commands. This is an opt-in feature that must be explicitly enabled by the user. Use this tool when: • User wants prompts automatically refined before processing • User says "enable auto-refine" or "always refine my prompts" • User wants to turn off automatic refinement When auto-refine is enabled, the AI should: 1. Take the user's raw input 2. Call refine_prompt with appropriate feedback 3. Use the refined prompt for the actual task
List of available template categories
Analyze and fix bugs in code
Review code for quality, security, and best practices
Generate a blog post outline or draft
Draft a professional email
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