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.
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Recent Articles
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How to Build an ETL App for SingleStore in Python with CData
Create ETL applications and real-time data pipelines for SingleStore in Python with petl.
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Create Datasets from Google Ads in Domo Workbench and Build Visualizations of Google Ads in Domo
Use the CData Software ODBC Driver for Google Ads to create datasets from Google Ads in Domo Workbench and then build visualizations in the Domo service.
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Integrate with Live Greenplum in MuleSoft (via CData Connect Cloud)
Use CData Connect Cloud to connect to Greenplum from the MuleSoft Anypoint Platform to integrate live Pivotal GreenPlum into custom reports and dashboards.
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Automated Continuous Kintone Replication to Apache Cassandra
Use CData Sync for automated, continuous, customizable Kintone replication to Apache Cassandra.
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Connect to MYOB AccountRight in NetBeans
Connect to MYOB AccountRight in NetBeans with the data source configuration wizard.
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Connect Monday.com to AI Assistants With the CData Python MCP Server
Learn how to give AI assistants like Claude direct access to live Monday.com using the CData Python MCP Server.
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Automated Continuous Azure Synapse Replication to Databricks
Use CData Sync for automated, continuous, customizable Azure Synapse replication to Databricks.
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Use the CData Software ODBC Driver for Hive in MicroStrategy Desktop
Connect to Apache Hive in MicroStrategy Desktop using the CData Software ODBC Driver for Hive.
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Connect to Dynamics NAV in Jaspersoft Studio
Execute SQL to remote Microsoft Dynamics NAV in Jaspersoft Studio.
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Connect to Snowflake in Claris FileMaker Pro
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