Model Context Protocol (MCP) enable secure, live retrieval from enterprise systems, allowing orchestration workflows to incorporate operational context without duplicating or reindexing data.
MCP connects Progress® Agentic RAG solution directly to systems of record, allowing AI workflows to retrieve live operational data instead of relying on static copies. This brings real business context into retrieval and orchestration, improving answer relevance while reducing data duplication and integration complexity.
Provides secure, real-time connectivity to enterprise systems and live web sources so AI workflows can incorporate operational records and current external developments. No custom integrations or data replication needed.
Connects AI workflows directly to enterprise systems of record to bring live operational data into retrieval and decision-making by:
Augments enterprise knowledge with live external signals so that AI responses reflect real-world developments by:
MCP connects the Progress Agentic RAG solution directly to systems of record, allowing AI workflows to retrieve real-time business data instead of relying on static snapshots. This produces answers that reflect the current state of opportunities, operations and enterprise activity.
MCP provides a structured connectivity layer that eliminates the need for custom middleware or data replication. Teams can securely access business systems and external sources within the same AI workflow, enabling broader use cases without increasing architectural overhead.
MCP brings live operational and external context into the same governed workflow as your enterprise knowledge foundation. Combined with the solution’s traceability, teams learn which systems informed an answer, supported audits and validated outputs with greater confidence.
Index files and documents from internal and external sources to fuel your company use cases.