Rapid FAQs

Question 1

How do I integrate Rapid into my development workflow?

Accepted Answer

Rapid functions as a local MCP server. You integrate it by registering its `server.py` file path within the configuration of your MCP-compliant client, such as an AI assistant or a desktop development environment like Claude for Desktop.

Question 2

How does Rapid achieve high performance for code analysis?

Accepted Answer

Rapid leverages a high-performance Rust-based core for its file scanning and parsing logic. This hybrid architecture, combining Python for server logic and Rust for CPU-intensive tasks, ensures maximum speed and efficiency in analyzing large codebases.

Question 3

Can Rapid be configured to scan specific parts of my project?

Accepted Answer

Yes, Rapid is highly configurable. You can customize scanning depth, specify which file extensions to include or exclude, and adjust the verbosity of the output, giving you precise control over the analysis process.

Question 4

Which programming languages does Rapid support?

Accepted Answer

Rapid offers comprehensive multi-language support, including built-in parsers for Python, Rust, C#, and TypeScript/JavaScript, allowing for in-depth analysis across various popular development environments.

Question 5

What is Rapid and what does it do?

Accepted Answer

Rapid is a local MCP (Machine Comprehension Protocol) server designed to provide powerful code analysis and project-wide search capabilities. It helps AI assistants and development tools understand the context of any software codebase for tasks like code generation, refactoring, and automated documentation.

Rapid

About

Key Features

Use Cases