Bringing Anthropic's MCP and Google's A2A into Industrial AI with Strong Governance and Safety
XMPro has launched Multi-Agent Generative System (MAGS) version 1.5, setting new standards for industrial AI reliability, security, and collaboration. This update introduces a trust architecture that tackles critical challenges in deploying AI where safety and performance are essential.
Collaborative AI Agent Teams for Industrial Operations
Agent-to-Agent (A2A) Communication Protocol
MAGS 1.5 integrates Google's Agent-to-Agent (A2A) protocol, enabling AI agents from different providers to communicate effectively while respecting varying trust levels. This breaks down barriers between operational technology (OT) and information technology (IT), allowing coordinated yet secure collaboration across organizational domains.
- A2A DataStream Connector: No-code setup for agent communication, keeping XMPro's visual design approach intact.
- Protocol Bridge: Converts between XMPro's existing communication protocols and A2A's JSON-RPC format.
- Agent Card Capabilities: Each agent has a digital identity outlining its functions and authentication methods.
This structured communication ensures that industrial AI operates with the high trust required to influence physical processes, while enabling controlled interaction with business systems.
Evidence-Based Confidence Scoring
The new confidence scoring system assesses agent outputs based on five key factors: evidence strength, consistency, reasoning quality, uncertainty, and stability. These are combined to generate normalized scores that help organizations set decision thresholds depending on how critical the task is.
Multi-Method Consensus Decision-Making
MAGS 1.5 introduces a consensus framework where agent teams collaborate through multiple rounds of proposal and conflict resolution instead of simple voting. It includes:
- Collaborative iteration to refine decisions
- Automatic detection of conflicts and resource issues
- Adaptive protocols that choose decision methods based on complexity
- Weighting of agent input based on domain expertise
- Confidence-based validation adjustments
- Smart escalation to humans when confidence is low
- Full traceability of decisions for audit purposes
This framework reduces bottlenecks and balances AI autonomy with necessary human oversight, improving decision quality and transparency.
Model Context Protocol (MCP) Integration
MAGS 1.5 incorporates Anthropic's Model Context Protocol (MCP) to standardize AI model access to external data and tools. In industrial settings, MCP acts as a translator, enabling AI to use contextual information effectively. XMPro's MCP Action Agents function as DataStream connectors, allowing seamless integration of MCP-compliant tools into real-time workflows.
Control and Governance at Scale
XMPro’s architecture uses DataStreams as control envelopes, separating agent reasoning from action execution. This creates safety boundaries that do not rely on perfect agent behavior. Agents can observe, analyze, and plan, but cannot execute actions without passing through control mechanisms that enforce predefined rules.
This approach ensures that even if an agent makes an unsuitable recommendation, operational safety remains intact.
Strategic Benefits for Industrial Organizations
- OT/IT Integration: Enables interoperable ecosystems where operational and business domains maintain their trust levels.
- Organizational Coherence: Supports collaboration across enterprise areas without forcing a single standard.
- Selective Trust Boundaries: High-trust operational systems can selectively expose capabilities to business functions.
- Human-AI Collaboration: Identifies when human review is necessary, keeping humans in control of critical decisions.
- Future-Proofing: Positions organizations to engage with evolving AI ecosystems while maintaining industrial-grade security.
Successful Hannover Messe 2025 Showcase
XMPro demonstrated MAGS at Hannover Messe 2025 alongside Dell Technologies. The demonstration showed how collaborative AI agent teams can tackle industrial challenges without needing deep data science skills or complex IT setups.
Availability
MAGS version 1.5 is available now for existing customers and will be open to new customers starting May 15, 2025. For details, visit www.xmpro.com or contact sales@xmpro.com.
About XMPro
XMPro helps industrial companies build intelligent operations solutions using composable AI, digital twins, and real-time data streams. Their platform enables AI agent teams to monitor, reason, and act—turning complex data into actionable intelligence. Learn more at www.xmpro.com/apex-ai.
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