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CDataSoftwareMCP SERVER

CData eBay Analytics

Query your eBay seller analytics in plain English through CData's JDBC driver — read-only.

by CDataSoftware ↗SaaS-to-SQL ConnectorsCommunity

LABSCO SUMMARY

Seller metrics without the dashboard.

The analytics you get in the eBay seller hub are laid out for browsing, not for the specific question you turned up with. As relational tables with a SELECT in front, traffic, listing and performance data can be aggregated and compared in one request. There is no write path, so an assistant exploring the numbers cannot touch a listing. Setup is a Maven build, a licensed driver and a property file.

What it is

A local, read-only bridge between an assistant and eBay Analytics. CData's JDBC driver exposes eBay Analytics as relational SQL models; this server wraps the driver so a model can discover the tables and query them, and you can ask in plain language instead of writing SQL. It runs over stdio, so the client has to be on the same machine.

What you get

  • get_tables lists the tables the driver exposes, returned as CSV with a header row
  • get_columns lists the columns on one of those tables, in the same CSV shape
  • run_query executes a SQL SELECT against live eBay Analytics data
  • Tool names carry the prefix you set in the property file — the sample config uses Prefix=ebayanalytics
  • A Tables setting that only picks which tables also get a ready-made description (blank means none); it does not limit what the tools can list or query, so limit the connection or the account it signs in with

Requirements

Java and Maven: mvn clean install builds CDataMCP-jar-with-dependencies.jar. Separately install the CData JDBC Driver for eBay Analytics and license it by running java -jar cdata.jdbc.ebayanalytics.jar --license, entering TRIAL or a license key. Build the connection string with the same jar, authenticating in the browser if the source uses OAuth, then write a .prp file naming the driver path, the driver class cdata.jdbc.ebayanalytics.eBayAnalyticsDriver and that JDBC URL. Point your client at java -jar with the built jar and the .prp file.

Setup effort

Build from source — clone the repository, then point your client at the binary