Is this server read-only?
Yes. The project explicitly builds a read-only MCP server. For full CRUD capabilities, CData offers a separate beta MCP Server.
@CDataSoftware
基本情報
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 Apache Hadoop Hive (beta)](https://www.cdata.com/download/download.aspx?sku=FIZK-V&type=beta).
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\apache-hadoop-hive.prp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
This read-only MCP server allows LLMs like Claude Desktop to query live data from Apache Hadoop Hive using the CData JDBC Driver for Apache Hadoop Hive. It wraps the driver and exposes Hive data through a simple MCP interface so users can ask natural language questions without writing SQL.
Clone the repository, build it with mvn clean install, download and license the CData JDBC Driver, generate a JDBC connection string, and create a .prp file with your connection details. Then add the server to your client’s mcpServers configuration (e.g., claude_desktop_config.json) and restart the client.
get_tables, get_columns, and run_query toolsstdio transport – same machine as client requiredYes. The project explicitly builds a read-only MCP server. For full CRUD capabilities, CData offers a separate beta MCP Server.
You need Java, Maven, and the CData JDBC Driver for Apache Hadoop Hive (with a license or trial key).
Authentication is handled through the JDBC connection string. If the data source uses OAuth, the Connection String utility will prompt for browser-based authentication.
The server uses `stdio` transport, so it can only be used with clients running on the same machine.
Contact the CData Support Team or join the CData Community for troubleshooting and feedback.
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