What is the difference between this server and the CData MCP Server for PingOne (beta)?
This server is read-only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP Server with simplified setup.
@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 PingOne (beta): https://www.cdata.com/download/download.aspx?sku=POZK-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\\pingone.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。
CData's read-only MCP Server for PingOne allows LLMs like Claude Desktop to query live PingOne data by exposing it as SQL tables through the CData JDBC Driver for PingOne. No SQL knowledge is required – users simply ask natural language questions.
Clone the repository, build with mvn clean install, download and license the CData JDBC Driver for PingOne, configure a .prp file with your JDBC connection string, and add the server to your MCP client (e.g., Claude Desktop) via the claude_desktop_config.json file. The server runs on stdio and can only be used with local clients.
get_tables, get_columns, run_queryThis server is read-only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP Server with simplified setup.
Java Runtime Environment and the CData JDBC Driver for PingOne must be installed and licensed on the same machine.
The connection string is configured via the CData JDBC Driver utility and typically uses OAuth. You will need to authenticate in your browser the first time.
The server uses `stdio`, so it can only be used with clients running on the same machine as the server.
No, this server is explicitly read-only. It only supports SQL SELECT queries and table/column discovery.

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