Informatica adds headless data tools to AWS AI services
Tue, 26th May 2026 (Today)
Informatica has added headless data management tools to AWS AI services, extending its integration with AWS for agentic workflows.
The rollout brings Informatica's Model Context Protocol servers and CLAIRE Agent skills to AWS Agent Registry and Amazon Quick. The setup is intended to let developers, data teams and business users add data management functions to AI agents without building custom integrations.
AWS Agent Registry is a central place for customers to discover, share and reuse AI agents, tools and agent skills across their organisations. Within that environment, Informatica is offering tools for metadata exploration, data quality and master data management.
It is also exposing CLAIRE Agent skills as application programming interfaces for use in Amazon Bedrock AgentCore and Quick. Users can invoke tasks such as data remediation and master data management inside agentic workflows running on AWS.
Data access
The announcement reflects a wider issue in corporate AI deployments: systems can fall short when they rely on inconsistent or incomplete internal data. Informatica's tools are aimed at giving agents access to business context, cleaner records and controls over how data is handled.
Tools now available on AWS include a Metadata Explorer MCP server, an MDM MCP server and data quality MCP services. These are intended to help agents identify sensitive data, avoid acting on duplicate or fragmented records, and validate information such as address and location data at the point of entry.
The emphasis on governed enterprise data has grown as companies test autonomous workflows that hand tasks from one software agent to another. In those settings, poor source data can spread errors across downstream systems and create compliance risks.
Rahul Auradkar, President and GM, Data Foundations at Salesforce, outlined the rationale for the integration.
"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.
"This ensures that high-quality enterprise data management is accessible to all business personas, not just technical teams."
Customer interest
Schneider Electric was cited as one company watching the development closely as businesses look for practical uses for AI agents in customer and operational processes.
"As a company deeply invested in AI-driven innovation, we're excited to see Informatica bringing these solutions to market," said Frederique Emery, VP of Services for the Digital Customer Relationship Organisation at Schneider Electric.
"The easier it is for AI agents to access trusted, governed data with the right enterprise context, the more value organizations can unlock from their agentic use cases."
AWS framed the integration as part of its effort to build the infrastructure needed for wider enterprise adoption of AI agents.
"Our collaboration with Informatica and Salesforce is focused on helping customers build a robust agent infrastructure on AWS with a solid data foundation," said Swami Sivasubramanian, VP of AWS Agentic AI at AWS.
"The integration of Informatica's MCP servers into the AWS Agent Registry and Amazon Quick marks a milestone in our joint commitment to cutting-edge AI innovation."
Availability
Informatica's MCP servers on AWS Agent Registry are available in preview in US regions. The same MCP servers on Amazon Quick are generally available in US regions, while CLAIRE Agent skills on AWS Agent Registry and Quick are in preview globally.
The broader aim under Salesforce ownership is to place data cataloguing, governance, quality, privacy, metadata management and master data tools closer to where AI agents are built and deployed.