Standards
Automates AI assistants learning from user corrections to continuously update their configuration and adhere to preferred coding standards.
About
AI assistants often struggle with remembering specific coding conventions, leading to repetitive corrections from developers. MCP Standards solves this by creating a self-learning system that observes your explicit corrections and implicit rejections. After just a few instances, it automatically detects patterns, promotes them to preferences with confidence scoring, and updates your AI's configuration files like CLAUDE.md. This ensures your AI assistant adheres to project-specific standards, tool preferences, and workflow patterns without constant manual retraining, dramatically improving developer productivity and code quality, all while operating 100% locally with robust security features.
Key Features
- Self-learning AI configuration updates from user corrections and detected patterns
- Automatic extraction of coding standards from existing project configuration files
- Generates and updates AI instruction files for Claude, GitHub Copilot, and Cursor
- Production-grade security with path whitelisting, input sanitization, and 100% local operation
- Persistent memory with local SQLite FTS5 database for pattern tracking and knowledge management
- 1 GitHub stars
Use Cases
- Training AI coding assistants to adopt project-specific coding styles and tool preferences
- Automatically updating AI configuration files to reflect learned development standards and best practices
- Enforcing consistent code quality and workflow adherence across development teams
