MCP Server Neurolorap

Provides MCP-based tools for code collection and project structure analysis to generate Markdown reports.

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcp-mirror-aindreyway_mcp-server-neurolora-p": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_neurolorap"
      ]
    }
  }
}

You run a focused MCP server that helps you collect code, analyze project structures, and generate Markdown reports. It automates documentation tasks so you can quickly produce consistent, readable insights about any codebase.

How to use

Use an MCP client to connect to the Neurolorap MCP server and invoke its tools to gather code, generate project reports, and store outputs in your project workspace. The server supports two primary modes of operation: a standard run and a developer mode with a JSON-RPC terminal for direct interaction. In normal use, you start the server and then call the available MCP tools to perform code collection or project structure analysis. The two available tools are designed for different tasks: code collection creates a Markdown file of code snippets with syntax highlighting, while the project structure reporter analyzes your project and outputs a detailed Markdown report.

Developer mode and tool access

For hands-on exploration, you can start the server in developer mode to access a JSON-RPC terminal. This mode lists available tools and lets you run them with simple commands. When you start developer mode, you will see a set of commands that include help, list_tools, collect, report, and exit. Use help to view available commands, list_tools to see the tools exposed by the server, and collect or report to perform respective tasks.

Available tools

code_collector

Collect code from an entire project or selected paths, output Markdown with syntax highlighting and a table of contents for easy navigation.

project_structure_reporter

Analyze project structure and metrics, generate a detailed Markdown report, provide file size and complexity insights, and offer recommendations for code organization.