AI-enabled application delivery with MCP

Explore how the Model Context Protocol (MCP) supports AI-enabled application delivery across design, development, integration, and runtime in Pega Platform™. Evaluate agent-assisted application designs, apply governed AI-assisted authoring, integrate external MCP capabilities, and expose Pega workflows to external AI agents while maintaining security, workflow control, and enterprise governance.

Advanced

English

After completing this module, you should be able to:

Evaluate application designs for secure and effective agent-assisted interactions.

Differentiate the roles of Blueprint Preview MCP, Infinity Build MCP, Connect MCP, and Infinity Run MCP.

Design governed AI-assisted application development with Infinity Build MCP.

Integrate external MCP tools with Pega Agents and case workflows.

Design governed runtime access to Pega workflows for external AI agents.

Apply security, data-boundary, authorization, auditability, and governance principles across MCP interactions.

Select the appropriate MCP capability for design-time, development-time, integration, and runtime requirements.

Available in the following mission:

Lead System Architect Enhancements for Pega Infinity v3

Topics

Blueprint Preview MCP design evaluation

10 mins

Infinity Build MCP fundamentals and governance

10 mins

Infinity Run MCP architecture and governance

10 mins

Architectural view of Connect MCP

10 mins

Module Quiz

10 mins