CData MCP Servers

Ask your AI for answers
from any enterprise data source

Stop waiting for reports to get created and start getting answers now with LLM-powered data analysis.

Make Claude your work bestie

It's everything you love about Large Language Models (LLMs) now incorporating your work data.

CData MCP Servers are the Model Context Protocol (MCP) combined with CData's Connector Library of hundreds of sources. It finally gives AI models access to the business data needed to make them really useful at work.

Those questions you've avoided asking because the answer would require yet another reporting request? Ask them all in one conversation.

Your personal data analyst that never has a ticket queue

Dashboards can only answer the question they were built for.

LLMs with CData MCP Servers adapt to your evolving needs, helping you investigate new angles and test hypotheses on the fly. CData MCP Servers combine data across any entity within a source system, blend data across multiple source systems, and produce the quantitative, descriptive, or historical analysis you need.

  • Let your LLM use language it understands to talk to your data
  • Access anything with a polite request
  • Spend less time waiting for a response
  • Make sure no one compromises your data
  • Avoid unvetted and unsupported MCP server downloads
MCP for ISVs
For Software Providers

Harness the Power of MCP

MCP is raising the bar for AI agents—setting a new standard where your agent doesn't just answer questions, it understands your customer's world. Without access to external data, it's limited in what it knows and what it can do.

With CData MCP-enabled Embedded Connectors, give your agents structured, secure, and controlled access to 270+ of your customers' data sources. Don't waste time building custom MCP servers—or worse, engineering the underlying API integrations. Focus on specializing your agent and win the race to capture your users' attention.

Book a demo to see about how CData's MCP-enabled Embedded Connectors can work in your platform.

Desktop extension or web connector?

CData offers both installable desktop MCP extensions and cloud-based remote MCP for AI on the web.

Desktop extension

CData MCP Servers offer local point-to-point connection for single sources to Claude desktop.

  • Locally installed
  • Connect to source systems anywhere
  • Data never leaves your personal machine
  • Built for Claude Desktop
  • Best for individuals

Web connector

CData Connect AI gives you remote MCP capabilities to connect multiple data sources to Claude on the web.

  • No install required
  • Connect to source systems anywhere
  • Easy no/low-code setup and configuration
  • Explore data and build specific datasets and views
  • Built for Claude on the web and desktop
  • Best for individuals, teams, and enterprises

Connect your favorite sources

Try out CData MCP Servers today

Adobe Analytics
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Amazon Redshift
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Databricks
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Excel Online
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Gmail
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Google BigQuery
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Google Calendars
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Google Sheets
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HubSpot
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Jira
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Microsoft Teams
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MySQL
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QuickBooks Online
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Snowflake Enterprise Data Warehouse
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Vault CRM
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How it works

Download the local MCP server desktop extensions and start talking to your data in minutes. Looking for multiple sources, connection to Claude on the web as well as desktop, and data governance controls? Try CData Connect AI instead

Step 1: Download and install

Download the specific CData MCP Server for your source, open the installer, and follow the setup instructions.

Step 2: Configure your MCP server

Configure your MCP Server by securely authenticating with the chosen source system.

Step 3: Talk to your data

Open Claude Desktop, confirm the Server's tools are visible. Begin asking questions and getting real answers.



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Sign up for our limited series covering useful prompts, tips, and future CData MCP Server release that will make Claude your undisputed work bestie.

Your future self will thank you.

Frequently Asked Questions

  •   What is MCP?
  •   Is MCP Secure?
  •   How quickly can I get started?
  •   How can I get help?
  •   How are CData's MCP Servers different from others?
  •   Can I use CData MCP with any AI platform?
  •   Is there an open-source version of CData MCP Servers?
  •   Do you have suggested prompts to get the best out of CData MCP Servers?
  •   Can I connect to Claude on the web as well as Desktop?
  •   Can I connect to multiple sources?
  •   How can I control what AI users can access from my data source?
  •   What is the difference between CData MCP Servers and Remote MCP in CData Connect AI?

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