Ketryx launches MCP server beta to connect AI coding tools with live compliance data

Ketryx launched a beta MCP server March 31, letting AI tools like ChatGPT and Claude pull live compliance data during product development. Medical device teams can now check traceability and release readiness without leaving their AI interface.

Categorized in: AI News Product Development
Published on: Apr 01, 2026
Ketryx launches MCP server beta to connect AI coding tools with live compliance data

Ketryx Brings Compliance Data Into AI Tools for Product Development

Ketryx launched a beta version of its Model Context Protocol (MCP) server on March 31, allowing AI assistants like ChatGPT, Claude, and Copilot to access live compliance data during product development. The move targets teams building regulated products-particularly in medical devices and life sciences-where compliance documentation and traceability checks currently require switching between separate systems.

The MCP server connects fragmented product lifecycle management (PLM), application lifecycle management (ALM), and development tools into a single knowledge graph. Teams can now query compliance status, identify traceability gaps, and verify release readiness using natural language without leaving their AI interface.

What This Means for Product Teams

For product development managers and engineers, the practical benefit is efficiency. Instead of manually checking documentation across multiple platforms, a team member can ask an AI assistant whether a specific component meets regulatory requirements or if traceability is complete for a release candidate.

Ketryx says its AI agents reduce manual compliance work by 90 percent. The company serves four of the world's top five medical device manufacturers, suggesting the approach has cleared adoption hurdles at scale.

How It Works

The MCP server acts as a bridge between your existing development tools and AI assistants. It provides secure access to compliance data without requiring teams to abandon their current workflows or replace existing systems.

  • Natural-language queries replace manual document review
  • Live data means compliance status reflects current state, not outdated snapshots
  • Existing PLM and ALM tools remain in place

For Your Workflow

If your organization uses ChatGPT, Claude, or Copilot alongside regulated product development, this is worth evaluating. The beta phase suggests the tool is still being refined, so early feedback from your team could shape its final form.

Learning how AI fits into product development workflows-particularly around compliance-is increasingly relevant for product managers, engineers, and quality teams.

For more details, visit Ketryx's website.


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