PrePrompt – MCP server that rewrites vague prompts before they reach the LLM (preprompt.org)

PrePrompt has launched a new server designed to enhance prompt interaction with language models (LLMs) by rewriting vague requests into precise specifications before they are processed. This tool operates as an MCP server and integrates seamlessly with Claude Code and Cursor. By using pure Python heuristics, PrePrompt scores the complexity of prompts in under 1 millisecond, allowing it to optimize requests only when necessary, ensuring a smooth user experience. The system learns user preferences over time, injecting context from previous sessions to refine its rewrites for frameworks, languages, and styles. This development is significant for the AI/ML community as it addresses a common pain point—ambiguity in prompts which can lead to inefficient or unexpected responses from LLMs. PrePrompt's ability to continuously learn and adapt improves developer productivity by making interactions with LLMs more effective without the risk of sensitive data being sent off-device. As an open-source project with an MIT license, PrePrompt encourages community collaboration, making it a valuable addition for developers looking to streamline their workflow while enhancing precision in their coding tasks.