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MCP Neurolora

@aindreyway

基本情報

カテゴリ

その他

トランスポート

stdio

作者

aindreyway

MCP Neurolora について

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

MCP Neurolora の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Neurolora のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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)

よくある質問

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.

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