CData JDBC Driver connects to Basecamp by exposing them as relational SQL models.
CData JDBC Driver connects to Basecamp by exposing them as relational SQL models. The basecamp by cdata mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 3 defined tools rather than through you.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Everything the assistant can do here goes through one of these:
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 serverAmong 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. Basecamp 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 Basecamp 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/basecamp.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
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