MCP Neurolora

@aindreyway

About MCP Neurolora

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

#mcp-neurolora #code-analysis #documentation-generator

Config

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

{
  "mcpServers": {
    "mcp-neurolora": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "uvx"
      ]
    }
  }
}

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 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.

Frequently asked questions

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`.