Standards FAQs

Question 1

What is MCP Standards and how does it improve AI assistants?

Accepted Answer

MCP Standards is a self-learning system that automates AI assistant configuration. It learns from your corrections and detected patterns to continuously update AI instruction files for tools like Claude, Copilot, and Cursor, ensuring they consistently adhere to your preferred coding standards and workflows.

Question 2

How does MCP Standards learn from my interactions?

Accepted Answer

It employs 5 types of learning, including explicit corrections (e.g., 'use X not Y'), implicit rejections (user edits), and rule violations. After repeated occurrences, it promotes these patterns to preferences and automatically updates your AI's configuration files like CLAUDE.md.

Question 3

Which AI coding assistants and project configurations does it support?

Accepted Answer

MCP Standards generates instruction files for Claude Desktop/Code, GitHub Copilot, and Cursor. It automatically extracts coding standards from various project config files like `.editorconfig`, `.prettierrc`, `pyproject.toml`, `package.json`, and `Cargo.toml`.

Question 4

Is MCP Standards secure and does it operate locally?

Accepted Answer

Yes, it offers production-grade security with features like path whitelisting, input sanitization, and audit logging. Crucially, it operates 100% locally with a persistent SQLite FTS5 database, meaning no data leaves your machine.

Question 5

What makes MCP Standards different from other AI coding tools?

Accepted Answer

MCP Standards is unique in its ability to automatically learn from your corrections and continuously update AI configurations. Unlike other tools, it actively adapts to your specific preferences and project standards over time, eliminating repetitive instructions and ensuring consistent code quality.

Standards

Standards

Características Principales

Casos de Uso

Características Principales

Casos de Uso