Is this server read‑only?
Yes. This project explicitly builds a read‑only MCP server. For full create, update, delete, and action capabilities, use the free CData MCP Server for ServiceNow (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 ServiceNow (beta)](https://www.cdata.com/download/download.aspx?sku=BNZK-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\\servicenow.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。
ServiceNow MCP Server by CData is a read-only MCP server that lets LLMs like Claude Desktop query live ServiceNow data using natural language. It wraps the CData JDBC Driver for ServiceNow, which exposes ServiceNow as relational SQL tables, so no direct SQL is required.
Clone the repository, build the JAR with mvn clean install, install and license the CData JDBC Driver for ServiceNow, then create a .prp file with your connection details. Configure Claude Desktop by adding the server to claude_desktop_config.json with the path to java and the JAR along with the .prp file. The server uses stdio transport and must run on the same machine as the client.
get_tables, get_columns, run_queryYes. This project explicitly builds a read‑only MCP server. For full create, update, delete, and action capabilities, use the free CData MCP Server for ServiceNow (beta).
The server uses stdio transport, so it must run on the same machine as the client (e.g., Claude Desktop).
Java, Maven (to build), and the CData JDBC Driver for ServiceNow installed and licensed on the machine.
Authentication (including OAuth) is handled through the CData JDBC Driver’s connection string utility. You configure the connection in the `.prp` file.
No. Only SQL SELECT queries are supported via the `run_query` tool.

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