Informatica, AWS deepen collaboration on enterprise AI infrastructure

By Parth Prabhudesai

Informatica has expanded its collaboration with Amazon Web Services to strengthen enterprise AI and data management capabilities, unveiling deeper integrations across AWS AI services at Informatica World 2026.

The company said it will make its Model Context Protocol (MCP) servers and CLAIRE Agent skills available across AWS services including AWS Agent Registry and Amazon Quick, enabling businesses to embed governed enterprise data directly into AI agents and workflows.

The move is aimed at addressing one of the biggest challenges in enterprise AI adoption — fragmented and unreliable data. By integrating Informatica’s headless data management tools into AWS environments, organisations can allow AI agents to access trusted metadata, master data and quality controls without requiring complex custom integrations.

Under the partnership, Informatica’s MCP servers will support metadata exploration, master data management and data quality validation within agentic workflows running on AWS. The company’s CLAIRE AI agents will also be exposed as APIs, allowing businesses to automate data remediation and master data management tasks through Amazon Bedrock AgentCore and Quick.

Rahul Auradkar, President and General Manager of Data Foundations at Salesforce, said the collaboration aims to make trusted enterprise data more accessible within AI systems.

“By plugging our data management intelligence directly into AWS agentic workflows, we are giving developers and business users the tools they need to build agents that act on trusted, governed and contextual data,” Auradkar said.

Amazon Web Services said the collaboration is designed to help enterprises build more reliable AI infrastructure.

Swami Sivasubramanian, Vice President of AWS Agentic AI at Amazon Web Services, said the integration marks a milestone in advancing AI innovation on AWS platforms.

The integrations come as enterprises increasingly adopt generative AI and autonomous workflows while facing growing pressure to ensure compliance, governance and data accuracy across AI systems.

According to Informatica, the Metadata Explorer MCP server helps AI agents identify sensitive or safe data, while the Master Data Management MCP server reduces risks associated with duplicate or fragmented records. Data quality tools also validate information at the point of entry to prevent downstream errors in AI-driven workflows.

The Informatica MCP servers on AWS Agent Registry are currently available in preview for US regions, while integrations with Amazon Quick are generally available in the US. CLAIRE Agent skills on AWS platforms are available in preview globally.