Introducing Ververica’s Model Context Protocol Server (Preview)

AI Meets Streaming Platform

Native Large Language Models (LLM) Integration for Your Unified Streaming Data Platform

Ververica's Unified Streaming Data Platform Self-Managed version 3.0 isn't an upgrade; it's a complete reimagining of what a unified streaming platform can do for real-time data teams. After listening to data engineers overwhelmed by deployment complexity, operation teams battling production issues at 3 AM, and architects losing sleep over governance and compliance audits, we built Ververica Platform 3.0 to tackle these challenges head-on.

Get Started

Check out the prerequisites and try it today.  

Ververica MCP Server

How It Works: 

Most data platforms treat AI assistants as external tools, helpful for code generation but disconnected from the platform where code runs. The result is friction, context loss, and time-consuming manual validation. With Ververica's MCP server, your AI assistant becomes an extension of your streaming data platform itself, with full visibility and control over deployments, scripts, artifacts, and logs.

Why It Matters:

Accelerate development and deployment cycles

From prompt to running job in seconds.

Reduce operational overhead

No manual API calls, no dashboard navigation required.

Simplify debugging your workflows.

AI analyzes logs and proposes fixes automatically.

Minimize Configuration Drift

Get consistent deployments across every environment.

Enable AI-Native Streaming Operations

Conversational platform management becomes your new standard.

ververica MCP

Try it. Break it.

 

Tell us what's missing while we build the infrastructure for AI-native streaming operations together.

Learn more and get started today. 

Let’s Talk

Ververica's Unified Streaming Data Platform helps organizations to create more value from their data, faster than ever. Generally, our customers are up and running in days and immediately start to see positive impact.


Once you submit this form, we will get in touch with you and arrange a follow-up call to demonstrate how our Platform can solve your particular use case.