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.”

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Alejo Buxeres Soler

Chief Data Officer

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.

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Improve Data Quality with AI

Turn natural language into business impact with automated data quality. Ask your assistant to design targeted tests and recommend monitors based on lineage and historical incidents.

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Bring data observability into your daily workflow

Connect with MCP clients like Cursor, Claude, or VS Code. Investigate issues, explore lineage, and ship changes without leaving your existing tools.

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Get precise answers from your metadata

With full visibility into lineage, entities, issues, and change history, your assistant delivers answers enriched with context and clarity.

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.

History & Correlation

Agent reviews historical context and currently happening issues and incidents

Issues history

Incidents history

Correlated issues

Correlated incidents

Issue interdependency

Data Analysis

Agent can perform data analysis to explore data to understand what has happened

Data profiling

Data sampling

Segmentation analysis

Root Cause Analysis

Agent can query for relevant metadata to further understand data assets and their structure

Asset schema

Review code

Review commits code

SQL changes

Schema changes

Query pattern changes

Affected Data Products

Actions

Agent can perform actions, suggest resolution, incident actions or suggest deeper reviews

Issue resolution actions

Incident merging actions

Suggested test/monitor

Suggested deep review

Suggested code change

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.