Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →CData Software - Knowledge Base
Recent Articles
-
Build Charts with Smartsheet in Clear Analytics
Create dynamic charts and perform analytics based on Smartsheet in Clear Analytics.
-
Analyze Amazon DynamoDB in Cognos Analytics
Use CData Connect Cloud to connect to Amazon DynamoDB from Cognos Analytics and analyze live Amazon DynamoDB.
-
Analyze FTP in R via JDBC
Use standard R functions and the development environment of your choice to analyze FTP Servers with the CData JDBC Driver for FTP.
-
How to use SQLAlchemy ORM to access Google Campaign Manager 360 in Python
Create Python applications and scripts that use SQLAlchemy Object-Relational Mappings of Google Campaign Manager 360.
-
How to Seamlessly Import Zoho Creator Data into IBM SPSS Modeler
Integrate Zoho Creator data into IBM SPSS Modeler using the CData ODBC Driver for real-time insights and advanced data analysis.
-
Visualize ShipStation in Sisense
Create an ElastiCube in Sisense app with access to ShipStation.
-
How to Connect to & Open Unbounce in Microsoft Excel
This article uses the CData ODBC driver for Unbounce to import data in Excel with Microsoft Query. This article also demonstrates how to use parameters with Microsoft Query.
-
How to connect to Phoenix from IntelliJ
Integrate connectivity to Apache Phoenix with wizards in IntelliJ.
-
Use JayDeBeApi to access Stripe in Python
Use standard Python scripting and the development environment of your choice to access live Stripe.
-
Build AI/ML Models with Live Sage 300 Data using Dataiku
-