CData JDBC Driver connects to Google Ad Manager by exposing them as relational SQL models.
CData JDBC Driver connects to Google Ad Manager by exposing them as relational SQL models. That is what the google ad manager by cdata mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 3 tools. What each one is for:
source_get_tables — The source_get_tables tool exposed by this serversource_get_columns — The source_get_columns tool exposed by this serversource_run_query — The source_run_query tool exposed by this serverBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
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 Ad Manager By Cdata's toolset — source_get_tables, source_get_columns, source_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.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| source_get_tables | The source_get_tables tool exposed by this server. |
| source_get_columns | The source_get_columns tool exposed by this server. |
| source_run_query | The source_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-ad-manager.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
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