Neurolorap FAQs

Question 1

Can I customize which files Neurolorap analyzes?

Accepted Answer

Yes, you can create a `.neuroloraignore` file in your project root to specify files and directories to ignore. A default file with common ignore patterns will be created if one doesn't exist.

Question 2

How do I access the generated documentation?

Accepted Answer

All generated files are stored in `~/.mcp-docs/<project-name>/`. A `.neurolora` symlink is created in your project root pointing to this directory for easy access.

Question 3

How do I install Neurolorap?

Accepted Answer

The recommended installation method is using UV: `uvx mcp-server-neurolorap`. Alternatively, you can use pip: `pip install mcp-server-neurolorap`.

Question 4

What kind of analysis does Neurolorap perform?

Accepted Answer

Neurolorap analyzes project structure, including file size and complexity. It can also generate detailed reports in markdown format.

Question 5

What is Neurolorap?

Accepted Answer

Neurolorap is a tool that automatically analyzes your code and generates documentation. It collects code snippets, analyzes project structure, and outputs a markdown file with syntax highlighting and a table of contents.

Neurolorap

Key Features

Use Cases

Neurolorap

Key Features

Use Cases