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CData MCP Servers

Share product questions and get support for CData MCP Servers

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5 Topics
Jerod
JerodCommunity Manager
posted in CData MCP Servers
CData MCP Server Data Source thread

CData MCP Servers launched on May 1st, 2025 with the following sources:Adobe Analytics ADP Google BigQuery Databricks Dynamics 365 Excel Online Gmail Google Analytics Google Calendars Google Sheets HubSpot Jira Microsoft Teams MySQL NetSuite PostgreSQL QuickBooks Online Amazon Redshift Intacct Salesforce Slack Snowflake Enterprise Data Warehouse Microsoft SQL Server Veeva Vault & Vault CRM WorkdayWe’ll update this thread as we add new sources, so stay tuned!~~If you have requests from our library, let us know!~~

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Jerod
Jerod
JerodCommunity Manager
published in CData MCP Servers
Introducing CData MCP Servers!News

Generative AI has transformed many industries, but connecting it to enterprise data has remained a major barrier—until now. CData introduces MCP Servers, a secure, scalable, and standardized way to connect Large Language Models (LLMs) to over 350 enterprise data sources using SQL-based access. No more dashboards, delayed BI reports, or custom integrations. With CData MCP Servers, LLMs like Claude (and soon ChatGPT, CoPilot, and others) can interact directly with your business systems—querying, analyzing, and even triggering workflows in real time, all while respecting existing permissions and maintaining enterprise-grade security.Read the blogWant to see how AI can truly speak the language of your business data? Read the full blog to explore how CData MCP Servers unlock real-time, secure, and scalable data access for your LLMs—no tickets required.

370
Jerod
Jerod
JerodCommunity Manager
published in CData MCP Servers
Get to Know CData MCP Servers (Video)

Watch a brief introductory video for CData’s MCP Servers! 

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Jerod
Jerod
JerodCommunity Manager
published in CData MCP Servers
CData MCP Server Installation Guide

Model Context Protocol (MCP) is an emerging, open-source standard for connecting LLMs with external services and data sources. Through MCP Servers, AI clients can perform actions like opening Jira tickets, posting Slack messages, committing GitHub branches and more. With CData MCP Servers, these capabilities expand exponentially.In this article, we guide the reader through installing the CData MCP Server for Google Sheets, configuring the connection to Google Sheets, and asking questions of the data in Claude Desktop.NOTE: This article focuses on the CData MCP Server for Google Sheets, but the principles apply to any of our MCP Servers.PrerequisitesYou need to download or configure the following accounts and applications to follow along with this installation guide:Claude Desktop (download) A Google account (if you do not have one, create one here) A Google Sheet with data (save a copy of our sample CRM sheet to your Google account)You can follow the steps below, or read the full insta

100
Jerod
Jerod
JerodCommunity Manager
published in CData MCP Servers
Open-Source MCP Server for CData JDBC Drivers

Alongside our Beta release CData MCP Servers, we’ve also created an open-source, read-only MCP Server that uses our JDBC Drivers under the hood to access data. Check out our Github repository (cdata-jdbc-mcp-server) to see how the MCP Server works, explore the source code, and run your own MCP Server.CData’s open-source, read-only MCP Server 

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Jerod
CData MCP Servers

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