LinkedIn·Sunday, 9 August 2026·17d ago
MCPs have the potential to change data governance forever. Context is everything in data governance, and unfortunately for many teams its…
Maarten Masschelein
CEO & Co-Founder @ Soda | Data and Context Management for AI
MCPs have the potential to change data governance forever.
Context is everything in data governance, and unfortunately for many teams its spread across many tools.
A data steward might need to switch between documentation, quality reports, catalogs, monitoring dashboards, and APIs just to answer a single question or complete one task.
This is obviously time-consuming.
MCP or Model Context Protocol is an open protocol that gives AI agents a standard way to interact with external tools. Instead of only generating text, an AI agent can retrieve data, execute actions, and update resources through a defined interface.
This changes what AI can do for data teams.
Previously, AI assistants could explain documentation or generate code, but they could not directly inspect datasets, retrieve incidents, create contracts, or update governance resources without custom integrations.
Now MCPs make that possible.
Soda MCP brings these capabilities to Soda Cloud. Your team can manage data quality directly from AI clients such as Claude, Cursor, Codex, or GitHub Copilot.
With Soda MCP, an AI agent can:
1. Create and manage monitors.
2. Create and update data contracts.
3. List datasets and inspect their health status.
4. Retrieve checks, contracts, scans, and incidents.
5. Build workflows that combine Soda with other MCP-enabled tools.
and much more.
We are hosting a webinar on this topic on 11th August, next week where we show you how to easily use AI tools to improve your data quality workflow.
Register here: https://lnkd.in/dVYyyScW
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