linshenkx/prompt-optimizer

Project overview

Prompt Optimizer is a multi-platform application that provides one-click AI prompt optimization, testing, and evaluation across multiple mainstream AI models. It processes data client-side and supports deployment via hosted web, desktop, Docker, and source.

Project type

MCP · Image & Vision

Use cases

Coding & Development

Deployment

Refer to project documentation

License

License pending

Best for

• General users and creators looking to optimize, test, and evaluate text and image prompts across multiple mainstream AI models.
• Developers integrating prompt optimization into tools like Claude Desktop via the Model Context Protocol.

Key capabilities

• Provides one-click prompt optimization with multi-round iterative improvements to enhance AI response accuracy.
• Supports both system prompt optimization and user prompt optimization.
• Supports prompt analysis, single-result evaluation, and multi-result comparison evaluation.
• Supports mainstream AI models including OpenAI, Gemini, DeepSeek, Grok, Zhipu AI, SiliconFlow, and MiniMax.
• Supports Text-to-Image (T2I), Image-to-Image (I2I), and Multi-Image generation.
• Includes context variable management, multi-turn conversation testing, and Function Calling support.
• Uses pure client-side processing with direct data interaction with AI service providers, bypassing intermediate servers.
• Manages resource-aware prompt assets with version history, reproducible examples, media support, source binding, and workspace application.

Limitations and risks

• The MCP Server requires API key configuration to function properly.
• Preconfiguring API keys via VITE_ environment variables on public frontend deployments is insecure because values are exposed in browser assets.
• macOS applications may require manual removal of quarantine attributes.

Getting started

• Users can begin by using the hosted online version directly, running the provided Docker command, or using one-click deployment options to Vercel or Cloudflare.

Evidence and sources

• GitHub project description: An AI prompt optimizer for writing better prompts and getting better AI results.
• README: - 🎯 **Intelligent Optimization**: One-click prompt optimization with multi-round iterative improvements to enhance AI response accuracy - 📝 **Dual Mode Optimization**: Support for…
• Release: v2.11.7
• README: - 🖼️ **Text-to-Image (T2I)**: Generate images from text prompts - 🎨 **Image-to-Image (I2I)**: Transform and optimize images based on local files - 🖼️ **Multi-Image Generation**: U…
• README: - 📊 **Context Variable Management**: Custom variables, batch replacement, variable preview - 💬 **Multi-turn Conversation Testing**: Simulate real conversation scenarios to test pr…

Reviewed at: 2026-07-17T09:40:15Z