CData JDBC Driver connects to Google Analytics by exposing them as relational SQL models.
Google Analytics By Cdata MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. CData JDBC Driver connects to Google Analytics by exposing them as relational SQL models.
Once Google Analytics By Cdata is connected, these are the calls the assistant has available:
google_analytics_get_tables — The google_analytics_get_tables tool exposed by this servergoogle_analytics_get_columns — The google_analytics_get_columns tool exposed by this servergoogle_analytics_run_query — The google_analytics_run_query tool exposed by this serverBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Google Analytics By Cdata's toolset — google_analytics_get_tables, google_analytics_get_columns, google_analytics_run_query — is a fair guide to whether it matches your workflow. It is maintained by CDataSoftware; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| google_analytics_get_tables | The google_analytics_get_tables tool exposed by this server. |
| google_analytics_get_columns | The google_analytics_get_columns tool exposed by this server. |
| google_analytics_run_query | The google_analytics_run_query tool exposed by this server. |
**Linux/Mac**
```json
{
"mcpServers": {
"{classname_dash}": {
"command": "/PATH/TO/java",
"args": [
"-jar",
"/PATH/TO/CDataMCP-jar-with-dependencies.jar",
"/PATH/TO/google-analytics.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
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