Is this server read-only or read-write?
The README explicitly states this is a read-only MCP server. For full read, write, update, delete, and action capabilities, the author recommends the free CData MCP Server for Azure Table (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 Azure Table (beta): https://www.cdata.com/download/download.aspx?sku=CAZK-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\\azure-table.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。
Azure Table MCP Server by CData is a read-only Model Context Protocol (MCP) server that uses the CData JDBC Driver for Azure Table to expose Azure Table data as relational SQL models. It allows large language models (like Claude Desktop) to query live Azure Table data through natural language questions without writing SQL.
Clone the repository, build the JAR with mvn clean install, download and install the CData JDBC Driver for Azure Table, license it via java -jar cdata.jdbc.azuretables.jar --license, configure the connection string using the driver’s Connection String utility, create a .prp file with JDBC properties, and add the server to your client’s configuration (e.g., claude_desktop_config.json). The server runs on stdio and must be on the same machine as the client.
get_tables, get_columns, run_query).prp file’s Tables propertyThe README explicitly states this is a read-only MCP server. For full read, write, update, delete, and action capabilities, the author recommends the free CData MCP Server for Azure Table (beta).
You need Java, Maven, and the CData JDBC Driver for Azure Table installed and licensed. The server runs as a Java JAR file.
The server uses the `stdio` transport, so it can only be used with clients running on the same machine.
Data resides in Azure Table and is accessed live through the CData JDBC Driver. The server does not store or cache data locally beyond the query results sent to the client.
Ensure you have configured the connection string properly using the driver’s Connection String utility, and that the `.prp` file contains the correct JDBC URL. For further help, contact CData Support or join the CData Community.
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