Is this server read-only or can it also write data?
This server is read-only. For full read, write, update, and delete capabilities, see the free CData MCP Server for ShipStation (beta).
@CDataSoftware
基本信息
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for ShipStation (beta): https://www.cdata.com/download/download.aspx?sku=HSZK-V&type=beta
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\shipstation.prp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
ShipStation MCP Server by CData is a read-only MCP server that allows LLMs like Claude Desktop to query live ShipStation data via natural language, using the CData JDBC Driver for ShipStation to expose data as relational SQL models.
Clone the repository, build the JAR with mvn clean install, install and license the CData JDBC Driver for ShipStation, create a .prp file with your connection details, then configure Claude Desktop by adding the server to claude_desktop_config.json with the path to Java, the JAR, and the .prp file.
This server is read-only. For full read, write, update, and delete capabilities, see the free CData MCP Server for ShipStation (beta).
You need Java, Maven, the CData JDBC Driver for ShipStation (installed and licensed), and a client that supports MCP (e.g., Claude Desktop). The server runs on Windows, Mac, or Linux.
Data stays in ShipStation. The server queries live data over the network via the JDBC driver.
The server uses stdio transport, so the client must be on the same machine. Authentication is handled by the JDBC connection string, typically via OAuth that opens a browser for authorization.
The server exposes tools prefixed with the configured server name: `{servername}_get_tables`, `{servername}_get_columns`, and `{servername}_run_query` (for SELECT queries). You generally let the LLM call them automatically based on your natural language questions.

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