Is this server read-only?
Yes, the README explicitly states this is a read-only MCP server. For full read, write, update, and delete capabilities, CData offers a separate free beta MCP Server for Google Calendars.
@CDataSoftware
基本情報
This read-only MCP Server allows you to connect to Google Calendars data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at
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。
google-calendars-mcp-server-by-cdata is a read-only Model Context Protocol (MCP) server that allows LLMs like Claude Desktop to query live Google Calendars data using natural language. It is powered by the CData JDBC Driver for Google Calendars, which exposes Google Calendars as relational SQL models. This server wraps that driver and provides an MCP interface, so no SQL is needed from the user.
Clone the repository, build the server with mvn clean install, install and license the CData JDBC Driver for Google Calendars, create a .prp file with your JDBC connection string, then configure Claude Desktop by adding the server to claude_desktop_config.json. Run the server using java -jar CDataMCP-jar-with-dependencies.jar <path-to>.prp. The server uses stdio transport and runs locally on the same machine as the client.
get_tables, get_columns, run_queryYes, the README explicitly states this is a read-only MCP server. For full read, write, update, and delete capabilities, CData offers a separate free beta MCP Server for Google Calendars.
You need Java (to run the JAR), Maven (to build the server), and the CData JDBC Driver for Google Calendars installed and licensed (trial or full license key).
All data stays on your local machine. The server connects directly to Google Calendars via the JDBC driver and does not send data to any third party.
The server uses stdio transport, so it can only be used with clients that run on the same machine as the server.
Yes, because the JDBC driver uses OAuth. During setup, you run the connection string utility and must authenticate in your browser to obtain and refresh credentials.

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