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MCP Neurolora

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An intelligent MCP server that provides tools for collecting and documenting code from directories

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Overview

MCP Neurolora is an intelligent MCP server designed to provide tools for collecting and documenting code from directories, utilizing the OpenAI API for code analysis.

To use MCP Neurolora, follow the installation guide to set up Node.js and the necessary tools, then configure the MCP server with your settings file and use the provided commands to analyze code or generate documentation.

  • Code analysis using OpenAI API with detailed feedback and improvement suggestions. - Code collection from directories into markdown files with syntax highlighting. - Automatic installation and configuration of base MCP servers for enhanced functionality.
  1. Analyzing code for best practices and improvement suggestions.
  2. Collecting all code from a project directory into a single markdown file.
  3. Generating documentation for codebases automatically.

Add to your AI client

Use these steps to connect MCP Neurolora in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-neurolora-aindreyway": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-neurolora-aindreyway": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-neurolora-aindreyway": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-neurolora-aindreyway": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-neurolora-aindreyway": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-neurolora-aindreyway": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-neurolora-aindreyway"
      ]
    }
  }
}

FAQ

Can MCP Neurolora analyze any programming language?

Yes! MCP Neurolora can analyze various programming languages as long as the code is accessible in the specified directory.

Is there a cost associated with using MCP Neurolora?

No! MCP Neurolora is free to use under the MIT License.

How does the code analysis work?

The server uses the OpenAI API to analyze the code and provide structured feedback, including best practices and recommendations.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":769,"uuid":"573f8b45-f2e1-46e0-bc98-e21f88a35d89","name":"mcp-neurolora","title":"MCP Neurolora","description":"An intelligent MCP server that provides tools for collecting and documenting code from directories","avatar_url":"https://avatars.githubusercontent.com/u/190715607?v=4","created_at":"$D2024-12-30T03:30:47.933Z","updated_at":"$D2025-02-23T07:16:03.819Z","status":"created","author_name":"aindreyway","author_avatar_url":"https://avatars.githubusercontent.com/u/190715607?v=4","tags":"mcp-neurolora,code-analysis,documentation-generator","category":"developer-tools","is_featured":false,"sort":1,"url":"https://github.com/aindreyway/mcp-neurolora","target":"_self","content":"$29","summary":"$2a","img_url":"https://camo.githubusercontent.com/770df5747235689e039bc398b6bd1ab08de65cbef94973824b912dddc8bec1fc/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4d43502d5365727665722d626c7565","type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

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