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 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 350+ 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
Comprehensive data access through a standardized SQL layer CData Connectors create a standardized SQL layer on every data source so LLMs can inherently produce richer and faster answers from your source system with CData MCP Servers.
A universal toolset for every object within every source We've designed a universal set of MCP tools that covers any read/write request across every entity in a given source system. That toolset applies universally across source systems so if you've learned it once, you've learned it 350 times.
Access anything with a polite request
Complete depth of connectivity to any source We hit every endpoint available in every version of the source system's APIs. This means you can ask AI to read or write to any object, entity, table, report, or field (including custom fields and objects). With CData, nothing is null, undefined, or nonexistent to your AI.
Take action in your source system For actions in the data source that don't correlate to reading from or writing to a collection, we've built-in SQL stored procedures that are accessible to the AI. Have AI download/upload attachments, close a ticket, and archive a chat — all through a polite request.
Spend less time waiting for a response
Query pushdown for efficient processing Instead of processing large, complex requests in the MCP Server itself, our connectors have query pushdown to minimize client side-usage and API throughput, parallel paging for high-speed data retrieval, and streaming mode for low-memory querying of large datasets.
Comprehensive operations to optimize for speed We support both read and write operations, including bulk inserts, updates, and deletes to optimize for speed with any LLM. Less time spent watching your AI flash 'generating a response' with a spinning wheel.
Make sure no one compromises your data
Access data without moving it CData MCP Servers access data in-place ‐ never moving it from its source system. This respects the user's credentials in the source system and only allows data access within their assigned permissions.
Respect the access and security protocols assigned to every user Users authenticate with their own credentials using the source's most trusted form of authentication to connect to the AI client. This ensures AI access respects the security and permissions your organization has already put in place.
Built-in support for:
- OAuth flows
- SSO providers (Okta, Azure AD)
- Kerberos (enterprise security environments)
- Basic authentication (API keys, username/password)
Avoid unvetted and unsupported MCP server downloads
Download MCP servers from a trusted source Most MCP servers out there are experimental projects published anonymously on third-party marketplaces.
Get real tech support so you don't get stuck With an open forum for questions in the CData User Community and access to CData Tech Support, you'll have support from technical experts that can help you through any issue.
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 Cloud 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
BETA
Connect your favorite sources for free
Try out CData MCP Servers today and enjoy free beta access through the end of 2025.
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
Vault CRM
Workday
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 Cloud instead
Download the specific CData MCP Server for your source, open the installer, and follow the setup instructions.
Configure your MCP Server by securely authenticating with the chosen source system.
Open Claude Desktop, confirm the Server's tools are visible. Begin asking questions and getting real answers.
Want to stay in the know?
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?
- What are the limitations of the beta version of CData MCP Servers?
- How can I get help?
- How long will this version be free?
- 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 Cloud?
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