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.

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Make 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, regular live office hours, and access to CData Tech Support, you'll have support from technical experts that can help you through any issue.

BETA

Connect your favorite sources for free

Try out CData MCP Servers today and enjoy free beta access through the end of 2025.

Snowflake Enterprise Data Warehouse

Microsoft SQL Server

Veeva Vault & Vault CRM

Workday

More coming soon!

How it works

The beta version of CData MCP Servers is tested for Claude Desktop on Windows operating systems.

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Step 1 Download and install

Download the CData MCP Server, open the installer and follow the prompt instructions.

Step 2 Configure your MCP Server

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

Step 3 Talk to your data

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

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Your future self will thank you.

Frequently Asked Questions

What is MCP?

Model Context Protocol (MCP) is a standard protocol designed to connect AI models to external data sources securely and efficiently. MCP enables AI to access real-time business data, tools, and workflows, allowing users to interact naturally with their data using conversational AI.
Is MCP Secure?

The Model Context Protocol (MCP) includes built-in security features such as standard authentication methods (OAuth, API keys, tokens) and fine-grained data access controls. However, MCP's overall security depends heavily on server implementation quality, proper configuration, and regular maintenance. Open-source implementations of MCP benefit from community-driven security audits, helping identify and mitigate risks.

CData's MCP Servers leverage the authentication methods you already trust (OAuth, Single Sign-On providers like Okta or Azure AD, Kerberos, and API keys) to ensure secure and authenticated data access. CData's platform is also SOC 2 Type II certified, ISO/IEC 27001:2022 compliant, and GDPR-compliant, ensuring robust security standards.
How quickly can I get started?

You can start using CData MCP Servers very quickly—just download the server, configure your connection by authenticating your data source, and immediately start asking your AI platform questions about your data. The process is designed to be simple and fast.
What are the limitations of the beta version of CData MCP Servers?
The beta version of CData MCP Servers is tested for:
- Claude Desktop (all available model versions)
- Windows operating systems
- The 'featured sources' list included on this webpage
As a beta product, it may still experience occasional updates, adjustments, or refinements. Users can provide feedback during this period to help improve stability and performance.

It is possible to be configured with any LLM that supports MCP (the list is growing every day) but these configurations have not been tested by CData (yet).
How can I get help?
You can get help with your CData MCS Server:
How long will this version be free?

The beta version of CData MCP Servers will be available for free until the end of 2025.
How are CData's MCP Servers different from others?
Unlike experimental MCP Servers often anonymously published online, CData MCP Servers offer:
- Reliable, standardized SQL-based access to over 350 business data sources.
- Robust security measures aligned with enterprise compliance (SOC 2, ISO/IEC 27001:2022, GDPR).
- High-performance features such as query pushdown, parallel paging, and bulk operations for efficient AI queries.
- Dedicated technical support and an active user community.
Can I use CData MCP with any AI platform?

Yes. CData MCP Servers are designed to be AI-agnostic, enabling integration with various AI tools and platforms, such as Claude, ChatGPT, and other leading large language models. If your AI tool supports MCP, you can easily connect your data via CData MCP Servers.