PortOne MCP Server

@portone-io

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

portone-io

关于 PortOne MCP Server

PortOne MCP Server for Developers

PortOne MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

PortOne MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is PortOne MCP Server?

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.

How to use PortOne MCP Server?

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.

Key features of PortOne MCP Server

Provides PortOne official documentation to LLMs for accurate answers.
Lists channel information from the PortOne console.
Adds test channels for development and testing.
Views sub-store details and payment history.
Accesses transaction reconciliation details including settlement data.
Retrieves reconciliation settlement summaries and statistics.

Use cases of PortOne MCP Server

Assisting developers with PortOne API integration using official documentation.
Answering merchant inquiries about PortOne features and console functions.
Debugging payment issues by viewing payment and reconciliation data.
Monitoring transaction reconciliation and settlement status.

常见问题

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.

How does PortOne MCP Server handle personal data?

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.

Can I use PortOne MCP Server with any AI tool?

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.

How do I migrate from the Python version of PortOne MCP Server?

Replace the server command from `uvx portone-mcp-server@latest` to `npx -y @portone/mcp-server@latest`, ensure Node

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