What is the difference between this server and the CData MCP Server for OData (beta)?
This server is read-only (supports only SQL SELECT queries). The beta version offers full read, write, update, delete, and action capabilities.
@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 OData (beta)](https://www.cdata.com/download/download.aspx?sku=RDZK-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\\odata.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。
OData MCP Server by CData is a read-only Model Context Protocol (MCP) server that uses the CData JDBC Driver for OData to expose OData data sources as relational SQL models. It allows LLMs like Claude Desktop to query live OData data using natural language questions without writing SQL.
Clone the repository, build the JAR with Maven, install and license the CData JDBC Driver for OData, then configure a .prp file with the JDBC connection string and other properties. Add the server to your client’s config (e.g., Claude Desktop’s claude_desktop_config.json) using a java -jar command that points to the JAR and the .prp file. The server runs over stdio and must be on the same machine as the client.
get_tables and get_columns toolsrun_query toolThis server is read-only (supports only SQL SELECT queries). The beta version offers full read, write, update, delete, and action capabilities.
You need Java, Maven, the CData JDBC Driver for OData (installed and licensed), and a .prp file with your JDBC connection string, driver path, and other properties.
Use the CData JDBC Driver’s Connection String utility to configure and test the connection, then copy the resulting JDBC URL into your .prp file.
No. It is read-only; only SELECT queries can be executed via the `run_query` tool.
It uses `stdio` transport, so the server must run on the same machine as the

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