PromptLab transforms basic user queries into optimized prompts for AI systems by automatically detecting content type and applying tailored templates from a YAML-based system. The server implementation uses FastMCP to expose specialized tools for generating enhanced prompts across four categories: essays, emails, technical explanations, and creative writing. With its modular architecture, PromptLab enables non-technical users to create and manage prompt templates, ultimately producing higher-quality AI responses through better-structured inputs.
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Highlight AIRegister a new prompt or version in MLflow.
Update an existing prompt and archive the previous version.
List all registered prompts in the MLflow registry.
Register multiple prompts from a JSON file.
Initialize with standard sample prompts.
Load all available prompts from MLflow at server startup.
Match user queries to the most appropriate prompt templates.
Apply the selected prompt template to the user's query.
Validate the enhanced query before generating a response.
Process a user's natural language query and return an enhanced prompt.
List all available prompts for user selection.
Show detailed matching information for prompts.
