CData JDBC Driver connects to AlloyDB by exposing them as relational SQL models.
CData JDBC Driver connects to AlloyDB by exposing them as relational SQL models. That is what the alloydb 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.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Alloydb 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.
This entry was verified against Alloydb By Cdata's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| 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/alloydb.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
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