MCP Server Neurolorap

What is MCP Server Neurolorap?

MCP Server Neurolorap is a Model Context Protocol server that provides tools for code analysis and documentation. It is designed for developers who want to collect, analyze, and document source code from projects using MCP-enabled clients like Cline.

How to use MCP Server Neurolorap?

Install with uvx mcp-server-neurolorap (recommended) or pip install mcp-server-neurolorap. The server runs via stdio transport and is available through MCP tools. For direct interaction, use developer mode with python -m mcp_server_neurolorap --dev. Generated files are stored in ~/.mcp-docs/<project-name>/. Customize ignore patterns by creating a .neuroloraignore file in your project root.

Key features of MCP Server Neurolorap

• Collect code from entire project or specific paths
• Generate project structure reports with metrics
• Markdown output with syntax highlighting
• Table of contents generation
• Customizable ignore patterns

Use cases of MCP Server Neurolorap

• Analyze and document an entire codebase for onboarding
• Generate project structure reports for code reviews
• Collect specific directories or files into a single document
• Automate documentation generation with custom ignore rules

FAQ from MCP Server Neurolorap

What are the runtime dependencies?

You need UV >=0.4.10 installed. The server handles all other dependencies automatically.

Where are generated files stored?

All outputs are saved to ~/.mcp-docs/<project-name>/. A symlink .neurolora is created in your project root for easy access.

Can I customize which files are ignored during collection?

Yes. Create a .neuroloraignore file in your project root with gitignore-style patterns. A default file is created if none exists.

What transport does the server use?

The server uses stdio transport via the MCP protocol. Developer mode provides an interactive JSON-RPC terminal interface.