Automate Data Quality in every workflow with SYNQ MCP
Connect SYNQ MCP to Cursor, Claude, or OpenAI so your assistant can trace lineage, pinpoint root causes, and resolve data quality issues, bringing observability straight into production, development, and discovery workflows.
“With SYNQ MCP, we can dig into open issues and actually get to a conclusion after just a few interactions. It designs tests for our models based on historical issues and lineage, and even generates a clear summary of the potential impact right in a pull request. That saves our team a huge amount of time and helps us prevent problems before they reach production.”
What can you do?
Assess downstream impact before you push to prod
Generate a concise impact summary for any PR. Instantly see affected models, dashboards, and data products before a merge.
Identify the Tables You’re Not Testing (But Should Be)
Deploy tests right from the start. SYNQ learns from incidents and lineage to surface a focused set of high-impact tests and anomaly monitors.
Pinpoint the root-cause, instantly
When an incident occurs, your assistant identifies the upstream cause, reviews related changes, and proposes a fix, giving you a clear resolution path with linked owners and impacted tables.
What SYNQ MCP unlocks?
SYNQ MCP makes data observability accessible through your favorite AI tool.
SYNQ Data Platform Tools
With SYNQ MCP you'll have access to multiple useful tools. You can use these tools to analyze data lineage, dependencies and data issues.
Access SYNQ APIs through natural language
With SYNQ’s MCP, you get access to dozens of APIs that are stitching together answers for you based on information from metadata around issues, your codebase, lineage, and more.

Build with data you can depend on
Join the data teams delivering business-critical impact with SYNQ.