Prompt Enhancer
Intelligently preprocesses LLM prompts with adaptive context management to improve AI response quality.
About
The Prompt Enhancer is a Model Context Protocol (MCP) server designed to intelligently analyze your codebase and enhance Large Language Model (LLM) prompts by injecting relevant context. This process leads to higher quality AI responses by ensuring the LLM has all necessary information. It employs a two-tier context system, adaptive context intelligence, and context caching to efficiently manage project information. The tool can automatically detect task types, integrate Git history, and recognize various frameworks like React or Vue, streamlining the development workflow by providing precise, task-focused context to AI models.
Key Features
- Two-tier Context System for comprehensive and task-focused analysis
- Adaptive Context Intelligence that provides only relevant information
- Context Caching to reuse analyzed project data and prevent re-processing
- Automatic Task Detection (e.g., page creation, debugging, refactoring)
- Git Integration to include recent changes and commit history
- 0 GitHub stars
Use Cases
- Enhancing LLM prompts for code generation, debugging, and refactoring tasks
- Integrating with LLMs like Claude via STDIO for seamless context provision
- Automating the inclusion of relevant code context for AI-powered development assistants
Sponsored