Your AI Coding Assistant Can't Touch Your Streaming Platform. Until Now.
- Natural Language Deployment Creation
- Log-Aware Debugging
- Deployment Lifecycle Management
- Import / Export Across Workspaces
- Context-Aware Platform Access
Introducing Ververica’s Model Context Protocol Server (Preview)
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
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
Accelerate development and deployment cycles. From prompt to running job in seconds.
Reduce
Reduce operational overhead. No manual API calls, no dashboard navigation required.
Simplify
Simplify debugging your workflows. AI analyzes logs and proposes fixes automatically.
Minimize
Minimize Configuration Drift. Get consistent deployments across every environment.
AI-Native
Enable AI-Native Streaming Operations. Conversational platform management becomes your new standard.
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.