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MCP Neurolora

@aindreyway

Repository

Basic information

Category

Other

Transports

stdio

Author

aindreyway

About MCP Neurolora

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

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

MCP Neurolora config

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

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

MCP Neurolora tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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)

Frequently asked questions

1

What are the runtime requirements?

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

2

What base servers does it install?

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

3

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`.

4

What transport does it use?

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

5

What license is the server under?

MIT License.

Comments

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