What are the runtime requirements?
Node.js 18, uv, uvx, and an OpenAI API key set in the environment configuration.
@aindreyway
基本情報
An intelligent MCP server that provides tools for collecting and documenting code from directories
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"
]
}
}
}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。
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.
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.
Node.js 18, uv, uvx, and an OpenAI API key set in the environment configuration.
fetch, puppeteer, sequential-thinking, github, git, and shell (with commands: ls, cat, pwd, grep, wc, touch, find).
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`.
It runs via `npx` (stdio transport), executing the npm package directly.
MIT License.

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