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Google Analytics MCP Server By Cdata

@CDataSoftware

基本信息

分类

数据与分析

许可证

MIT license

传输方式

stdio

作者

CDataSoftware

关于 Google Analytics MCP Server By Cdata

This read-only MCP Server allows you to connect to Google Analytics data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at

Google Analytics MCP Server By Cdata 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Google Analytics MCP Server By Cdata 工具

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。

概览

What is google-analytics-mcp-server-by-cdata?

This read-only MCP server allows LLMs like Claude Desktop to query live Google Analytics data using the CData JDBC Driver for Google Analytics, which exposes Google Analytics as relational SQL models.

How to use google-analytics-mcp-server-by-cdata?

Clone the repository, build with Maven, download and license the CData JDBC Driver for Google Analytics, create a .prp file with connection details, then configure the server in Claude Desktop’s claude_desktop_config.json. The server uses stdio transport and runs on the same machine as the client.

Key features of google-analytics-mcp-server-by-cdata

  • Read-only access to Google Analytics data via MCP
  • Exposes tables, columns, and SQL query capabilities
  • Supports natural language questions from AI clients
  • Powered by CData JDBC Driver for Google Analytics
  • Uses stdio transport for local client integration

Use cases of google-analytics-mcp-server-by-cdata

  • Querying Google Analytics metrics and dimensions with natural language
  • Correlating closed won opportunities with account industry (example)
  • Retrieving calendar events for the current day (example)
  • Asking ad-hoc questions about analytics data without SQL

常见问题

1

What is the difference between this server and the CData MCP Server for Google Analytics (beta)?

This server is read-only; the beta version supports full read, write, update, delete, and action capabilities and offers a simplified setup.

2

What are the runtime requirements?

You need Java (to run the JAR), Maven (to build), and the CData JDBC Driver for Google Analytics must be installed and licensed.

3

Where does the data live?

Data stays in Google Analytics; the server queries it live via the JDBC Driver and returns results to the client.

4

What transport and authentication does the server use?

It uses `stdio` transport (local only). Authentication is handled through the JDBC Driver’s OAuth flow when configuring the connection string.

5

How do I list available tables and columns?

Use the tools `{servername}_get_tables` and `{servername}_get_columns`, which are automatically exposed once the server is configured.

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