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Prompt Optimizer - An open-source AI-powered prompt optimization tool that supports the MCP protocol.

Prompt Optimizer is an open-source AI prompt optimization tool that helps users quickly write high-quality prompts to improve the quality of AI output. It offers one-click prompt optimization, supports multiple rounds of iterative improvement, and enhances the accuracy of AI responses...

What is Prompt Optimizer?

Prompt Optimizer is an open-source AI prompt optimization tool that helps users quickly write high-quality prompts to improve the quality of AI output. It offers one-click prompt optimization, supports multiple rounds of iterative improvement, and enhances the accuracy and relevance of AI responses. It supports optimization of both system and user-generated prompts to meet various use cases. It allows for real-time comparison of original and optimized prompts, providing a clear view of the optimization effect. It supports mainstream AI models such as OpenAI, Gemini, DeepSeek, Zhipu AI, and SiliconFlow. Pure client-side processing ensures data security by allowing direct data interaction with AI service providers without intermediary servers. It supports the Model Context Protocol (MCP) and can be integrated with MCP-compatible applications such as Claude Desktop.

Main functions of Prompt Optimizer

  • Intelligent optimizationOne-click optimization of prompts, supporting multiple rounds of iterative improvements to enhance the accuracy and relevance of AI responses.
  • Dual-mode optimizationSupports optimization of system prompts and user prompts to meet different usage scenarios.
  • Real-time comparisonIt supports real-time comparison between the original and optimized suggestion words, providing a clear visual representation of the optimization effect.
  • Multi-model integrationSupports mainstream AI models such as OpenAI, Gemini, DeepSeek, Zhipu AI, and SiliconFlow.
  • Security ArchitecturePure client-side processing, with data interacting directly with the AI service provider without passing through intermediate servers, ensuring data security.
  • Multi-platform supportIt offers multiple usage methods, including web applications, desktop applications, Chrome extensions, and Docker deployment.
  • Access ControlSupports password protection to ensure deployment security.
  • MCP protocol supportsSupports the Model Context Protocol (MCP) and can be integrated with MCP-compatible applications such as Claude Desktop.

Project address for Prompt Optimizer

  • Github repositoryhttps://github.com/linshenkx/prompt-optimizer

How to use Prompt Optimizer

  • Use the online versionAccess https://prompt.always200.com directly; all data is stored locally in your browser, ensuring security and reliability.
  • Vercel DeploymentYou can deploy to your own Vercel with one click, or you can fork the project and import it into Vercel. Environment variables need to be configured as follows: ACCESS_PASSWORD API keys from various AI service providers, etc.
  • Download desktop applicationsDownload the latest version from GitHub Releases. It is available in both installer and compressed file formats. The installer supports automatic updates.
  • Install Chrome extensionInstall from the Chrome Web Store and click the icon to open the prompt word optimizer.
  • Docker deployment: Run containers via Docker commands, and configure environment variables such as API keys and access passwords. Domestic users can use Alibaba Cloud mirrors for acceleration.
  • Docker Compose DeploymentAfter cloning the repository, you can create .env Configure the API key in the file, then use it. docker compose up -d Start the service.
  • MCP Server usesWhen running via Docker, the MCP Server will start automatically and can be accessed through... http://ip:port/mcp Access requires configuring environment variables such as MCP_DEFAULT_MODEL_PROVIDER It can be integrated and used in applications that support MCP, such as Claude Desktop.
  • API Key ConfigurationIt can be configured through the "Model Management" tab in the interface, or through environment variables during Docker deployment. You need to fill in the corresponding API key according to the AI model you are using.
  • Local developmentAfter cloning the project, install the dependencies and run the development commands to start local development.

Application scenarios of Prompt Optimizer

  • AI content creation optimizationIt helps content creators optimize creative prompts for AI models such as ChatGPT and Claude, thereby improving the quality and creativity of generated content.
  • Improved Automated Office InstructionsTo improve the accuracy and contextual understanding of AI-powered automated office assistants in performing tasks, making instructions clearer and more precise.
  • Multi-turn dialogue designRewrite the instruction prompts used to build AI Agents to improve multi-turn interaction effects and make dialogues more natural and fluent.
  • Programming code suggestion constructionGenerate more accurate programming-related prompts to improve the accuracy and efficiency of code output.
  • AI-assisted teaching and trainingIt helps educational institutions or individuals optimize the structure of AI-generated prompts used in courses to improve teaching effectiveness.
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