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MCP Server Neurolorap

@aindreyway

Repository

About MCP Server Neurolorap

MCP server for code collection and documentation

#mcp-server#code-collection#documentation

Basic information

Category

Other

Transports

stdio

Publisher

aindreyway

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-neurolora-p": {
      "command": "uvx",
      "args": [
        "mcp-server-neurolorap"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Comments

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