MCP Neurolora Server

Neurolora MCP Server provides intelligent code analysis, code collection, and documentation tooling powered by OpenAI. It enables you to analyze code, collect codebases into readable Markdown with syntax highlighting, and generate structured documentation, all managed through MCP clients for seamless integration into your development workflow.

How to use

You interact with the Neurolora MCP Server through an MCP client. Start the server via your controller, then request tools to analyze code, collect code, or generate documentation. The server exposes three main capabilities: 1) analyze code with OpenAI-powered feedback and issues, 2) collect code from a directory into a navigable Markdown file, and 3) generate documentation for your codebase. Use these tools by specifying your project path and desired output locations, and let the MCP client handle orchestration and results.

How to install

Prerequisites you need before installation include Node.js, the uv tool, and uvx. Follow these steps to set up the Neurolora MCP Server on your system.

Install Node.js (v18) and related tooling on your platform.

# macOS
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew install node@18
echo 'export PATH="/opt/homebrew/opt/node@18/bin:$PATH"' >> ~/.zshrc
source ~/.zshrc

# Windows
# Download Node.js 18 LTS from nodejs.org and install

# Linux (Ubuntu/Debian)
curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs

Install uv and uvx which are used to run MCP servers.

curl -LsSf https://astral.sh/uv/install.sh | sh
uv pip install uvx

Configure the Neurolora MCP Server

Create or edit your MCP settings to register the Neurolora MCP Server. The following configuration uses npx to install the latest package and passes your OpenAI API key securely.

{
  "mcpServers": {
    "neurolora_mcp": {
      "command": "npx",
      "args": ["-y", "@aindreyway/mcp-neurolora@latest"],
      "env": {
        "NODE_OPTIONS": "--max-old-space-size=256",
        "OPENAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available tools

analyze_code

Analyzes code using OpenAI API and generates detailed feedback with improvement suggestions, best practices, impact analysis, and steps to fix. Produces LAST_RESPONSE_OPENAI.txt and LAST_RESPONSE_OPENAI_GITHUB_FORMAT.json.

collect_code

Collects all code from a directory into a single Markdown file with syntax highlighting and navigation, supporting ignore patterns.

install_base_servers

Installs base MCP servers into your configuration file to provide foundational capabilities for your environment.