Scale AI without scaling risk
Get trusted data signals so AI agents can act with confidence using MCP.
Actian Data Observability MCP Server
Expose data observability context directly to AI assistants and agentic workflows via MCP, so agents can quickly check whether data is healthy before doing anything with it. Through MCP, AI tools can see things like data quality and validation results, active alerts and incidents, monitor coverage, anomaly and drift signals, and overall pipeline trust.
Enable trusted AI workflows
Trusted AI decisions
AI verifies data reliability before acting, reducing the risk of decisions based on incorrect data directly within AI workflow.
Built-in guardrails for agentic workflows
Data quality becomes a checkpoint, preventing autonomous actions when pipelines break, drift occurs, or policies are violated.
Faster response, less tool switching
Teams access observability context directly inside AI assistants, speeding up investigation without jumping between tools.
Production-ready autonomy
Agents rely on verified data signals instead of assumptions, enabling safer scaling of AI-driven workflows.
See how it all connects
Connect AI to enterprise data and keep an eye on every interaction in real time, so outputs stay accurate, up to date, and safe to drive business decisions.
Unlock the Full Potential of Your Data + AI Initiatives
Ready to build reliable, AI-ready data products? Schedule a meeting with one of our data observability experts to:
- Understand how Actian Data Observability provides comprehensive visibility and ensures the health of your data pipelines.
- Explore the features that proactively detect issues and minimize business impact.
- Get insights into how to integrate data observability seamlessly with your existing data stack.
Ready to Dive Deeper? Request a personalized meeting today.
Connect With an Actian Specialist
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