MCP Neurolora

What is MCP Neurolora?

MCP Neurolora is an intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation. It is designed for developers using AI assistants like Cline or Claude Desktop.

How to use MCP Neurolora?

Install Node.js 18, uv, and uvx, then add the server configuration to your MCP settings file with an OpenAI API key. Use the install_base_servers tool to automatically set up base servers, then invoke tools like analyze_code, collect_code, or ask your assistant to analyze code, collect code, or generate documentation.

Key features of MCP Neurolora?

• OpenAI API integration for code analysis
• Structured feedback with best practices recommendations
• GitHub issues generation from analysis results
• Directory code collection with syntax highlighting
• Pattern-based file filtering (like .gitignore)
• Automatic base MCP server installation and configuration

Use cases of MCP Neurolora?

• Analyze code files or directories for issues and improvement suggestions
• Collect all code from a project into a single markdown file with navigation
• Generate structured documentation from codebases
• Install and manage base MCP servers (fetch, puppeteer, sequential-thinking, GitHub, Git, shell)

FAQ from MCP Neurolora

What are the runtime requirements?

Node.js 18, uv, uvx, and an OpenAI API key set in the environment configuration.

What base servers does it install?

fetch, puppeteer, sequential-thinking, github, git, and shell (with commands: ls, cat, pwd, grep, wc, touch, find).

How do I configure the server?

Add a JSON block to your MCP settings file (e.g., cline_mcp_settings.json or claude_desktop_config.json) with the command npx -y @aindreyway/mcp-neurolora@latest and the environment variable OPENAI_API_KEY.

What transport does it use?

It runs via npx (stdio transport), executing the npm package directly.

What license is the server under?

MIT License.