Informatica will work with the Customer to establish a foundational understanding of headless data integration using Informatica’s Cloud Data Integration (CDI) and Job Management Model Context Protocol (MCP).
Key activities include:
(i) Discovery and use case assessment. Up to two (2) one-hour sessions to:
• Review Customer requirements and identify candidate use cases for Artificial Intelligence (AI)-driven data integration.
• Assess use cases involving AI agent-driven pipeline execution, data movement, data delivery, and operational status retrieval.
• Evaluate and confirm the complexity and scope of up to three (3) agreed-upon use cases.
(ii) MCP client setup for one (1) client, limited to the following:
• Set up and configure one (1) supported MCP client using out-of-the-box capabilities.
• Establish connectivity to Informatica's Job Management MCP server, subject to Customer-provided access and permissions.
(iii) CDI job management MCP working sessions. Up to three (3) one-hour sessions to:
• Review supported Job Management MCP capabilities
• Demonstrate how AI agents and MCP-enabled applications can identify, invoke, and monitor approved CDI jobs without navigating the Intelligent Data Management Cloud (IDMC) user interface.
• Review opportunities to leverage Job Management MCP alongside other available Informatica MCP capabilities for agreed-upon use cases.
(iv) Architecture and solution guidance, limited to the following:
• Provide guidance on exposing approved CDI jobs to AI agents through supported MCP capabilities.
• Review authentication, authorization, execution boundaries, logging, and operational controls for AI agent-driven job execution.
Notes:
(i) Discovery activities are limited to a maximum of two (2) sessions, and MCP working sessions are limited to a maximum of three (3) sessions.
(ii) MCP client setup is limited to one (1) supported MCP client. Custom MCP client development is excluded.
(iii) Informatica will evaluate and confirm the complexity of Customer use cases and determine how many (up to three (3)) will be addressed within the working sessions.
(iv) Informatica will not develop or implement multi-agent orchestration.
(v) Custom MCP server development, extensions, or builds are excluded.
(vi) Demonstrations and assessments will leverage only currently supported, generally available or preview Informatica MCP surfaces. Development of new MCP surfaces is excluded.
(vii) Job execution and monitoring demonstrations will be limited to approved CDI tasks and supported MCP operations.
• Active IDMC organization with CDI available
• Representative CDI mappings, mapping tasks, taskflows, or other executable assets deployed in a non-production environment
• Informatica Headless/Job Management MCP access enabled for the Customer's environment
• MCP-capable AI agent or client identified for evaluation
• Candidate data integration use cases identified
• Customer to provide a list of relevant stakeholders (e.g. security and IDMC access control representatives) and ensure their availability for workshops, setup activities, knowledge transfer sessions and reviews.
• Customer to provide the required MCP client environment, access credentials, permissions, connectivity, and approved CDI jobs for demonstration
• CDI Job Management MCP capabilities reviewed and mapped to Customer use cases
• Up to three (3) candidate AI agent-driven integration use cases assessed
• Headless CDI job invocation and status monitoring workflow outlined
• Authentication, authorization, execution, and operational-control requirements identified
• Approved CDI assets suitable for MCP exposure identified
• Cross-product opportunities, including Marketplace-driven provisioning followed by CDI delivery, identified
• Headless CDI MCP product documentation
• CDI MCP Use Case Summary
• CDI Agent Interaction Flow
PSU Catalog
8
Cloud Data Integration
Professional Services Units
Design
Plan
PSU-HDL-002
1-25 units
November 2026
A la carte
Additional Information
Professional Services Units can be converted into Training Units upon written request submitted to the Customer’s assigned Informatica Delivery Manager. The conversion ratio is one (1) Professional Services Unit to ten (10) Training Units. The converted Training Units can be used for any training currently offered in the Informatica University catalog other than training subscriptions. View available learning paths or log in to browse the full Informatica University catalog at https://now.informatica.com/All-Training-Paths.html. Educational Services are governed by the description and terms at https://now.informatica.com/Informatica-University-Terms.html.