What are the system requirements for PortOne MCP Server?
Node.js 22.6.0 or higher is required. For DXT installation on Claude Desktop, a known issue may require disabling the "Use embedded Node.js for MCP" option.
@portone-io
基本情報
PortOne MCP Server for Developers
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。
PortOne MCP Server provides PortOne official documentation (Developer Center, Help Center) to LLMs, enabling accurate integration assistance and inquiry responses. It can also perform select PortOne console functions such as listing channels, viewing payment history, and accessing transaction reconciliation details.
Install via DXT by downloading the .dxt file and dragging it into a compatible AI tool, or register manually by adding the MCP server configuration (npx -y @portone/mcp-server@latest) to your AI tool's settings. Requires Node.js 22.6.0 or higher.
Node.js 22.6.0 or higher is required. For DXT installation on Claude Desktop, a known issue may require disabling the "Use embedded Node.js for MCP" option.
The server removes personal information from API responses before they reach the AI service. Other response content may be stored or used for model training per the AI service's policy.
Yes, it can be used with any AI tool that supports MCP (e.g., Cursor, Windsurf, Claude Desktop) by adding the server to the tool's MCP configuration.
Replace the server command from `uvx portone-mcp-server@latest` to `npx -y @portone/mcp-server@latest`, ensure Node
Open-source MCP to use Blender with any LLM

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Model Context Protocol Servers
コメント