A2A and MCP for Interoperability
Agentic AI & AI Agents > A2A and MCP for Interoperability
Learn how the Agent2Agent (A2A) and Model Context Protocol (MCP) enable a decoupled, interoperable and scalable AI agent ecosystem on SAP BTP.
Generative AI is a type of AI that is capable of generating new data, such as images, videos, and text, based on the data it has been trained on.
View all tagsLearn how the Agent2Agent (A2A) and Model Context Protocol (MCP) enable a decoupled, interoperable and scalable AI agent ecosystem on SAP BTP.
Enable interoperability between AI agents with Agent2Agent protocol, fostering collaboration across enterprise landscapes.
Build, integrate and orchestrate AI agents on SAP BTP. This reference architecture covers low-code agents with Joule Studio, pro-code agents with SAP Cloud SDK for AI, bidirectional integration with Joule and Agent2Agent (A2A) interoperability.
Transform structured data analysis with AI-powered applications, enabling real-time insights and operational efficiency.
Transform structured data analysis with AI-powered applications, enabling real-time insights and operational efficiency.
Develop AI agents using SAP Project Agent Builder (PAB) for enterprise automation with low-code or pro-based strategies and multi-step reasoning capabilities.
Integrate Generative AI with SAP BTP using custom prompts for intelligent interactions and tailored AI responses.
Build, integrate and orchestrate AI agents on SAP BTP using Joule Studio, SAP Cloud SDK for AI, A2A and MCP protocols.
Build, deploy and run machine learning use cases on SAP BTP using RPT-1, HANA Cloud PAL/APL and SAP AI Core.
Build, deploy and run document processing solutions using SAP Document AI on SAP BTP.
Improve search relevance with semantic embeddings stored in vector databases, enabling efficient similarity searches.
Embodied AI agents extend digital workflows into the physical world, enabling cognitive robots to adapt to changing business needs. SAP's vendor-agnostic approach leverages business semantics, contextual reasoning, and multi-agent interoperability, with Joule as the robotics interface.
Embodied AI agents extend digital workflows into the physical world, enabling cognitive robots to adapt to changing business needs. SAP's vendor-agnostic approach leverages business semantics, contextual reasoning and multi-agent interoperability, with Joule as the robotics interface.
Utilize AI capabilities with Joule Studio in SAP Build. Create custom Joule Skills and AI Agents for seamless integration across SAP and non-SAP systems, driving automation and innovation.
Build, deploy and run LLM and GenAI applications on SAP BTP using SAP AI Core, Generative AI Hub and CAP.
Integrate Generative AI with SAP BTP using SAP HANA Cloud's Vector Engine for similarity search and advanced AI patterns.
This reference architecture describes the IAM related flows for SAP Joule with SAP Build Work Zone and via the SAP Cloud Identity Services.
Learn the architectural patterns for integrating both low-code and pro-code AI agents with Joule, SAP's AI copilot, for a unified user experience.
Explore key topics for implementing and extending Joule, from enterprise integration with systems like SAP S/4HANA and SAP SuccessFactors to building custom skills and agents with Joule Studio and SAP BTP
Learn how to expose Joule agents for consumption by third-party applications and external systems using the Agent Gateway with the A2A protocol.
Build, deploy and run custom Joule Skills using Joule Studio on SAP BTP for extending SAP Joule capabilities.
Learn how to rapidly develop and deploy AI agents using the low-code capabilities of Joule Studio in SAP Build.
The reference architecture illustrates how to benefit from partner models like IBM Granite foundation model for the increasing demand of generative AI features in business scenarios with emphasis on data security, IP Protection and enterprise-grade governance and compliance.
Build, deploy and run tabular prediction use cases with SAP-RPT-1, SAP's foundation model for relational business data.
Learn how to build custom, pro-code AI agents on SAP BTP using SAP Cloud SDK for AI with popular frameworks like LangGraph, AutoGen and CrewAI for maximum flexibility and control over complex business logic.
Improve LLM accuracy with Retrieval Augmented Generation (RAG) by integrating external data for enhanced precision and reduced hallucinations.
Architectural patterns for integrating SAP Business Data Cloud with SAP AI Core and Generative AI Hub. Covers AI-Enhanced Data Products, model training in Databricks and serving in AI Core, batch and real-time consumption patterns, and predictive insights.
Design authentication and role management flows for SAP SaaS with SAP Cloud Identity Services.
Recommended SAP BTP Subaccount model setup for unified Joule experience within a 3-staged landscape
A structured decision framework for selecting the right AI approach on SAP BTP, covering relational foundation models, classic ML, LLMs and AI agents.
Learn how to set up and use Cline, an autonomous coding agent, with SAP AI Core to accelerate your development workflows.