Is this a public MCP server?

No. HARNEXA publishes discovery-only manifests publicly. Client deployments use governed private tool surfaces with scoped permissions and audit logging.

Can the assistant place orders or change prices?

It can prepare recommendations and route context, but order placement, price overrides, credits, and cancellations are FINANCIAL actions that require human approval.

Which commerce stacks can this pattern support?

The architecture is designed for SAP Commerce, Salesforce Commerce Cloud, Shopify, custom ERP, CRM, pricing, and fulfilment systems through governed tool contracts.

Commerce · MCP / A2A

Agentic Commerce Assistant

A governed agentic commerce assistant connects product discovery, order context, pricing logic, and fulfilment checks across commerce systems while keeping consequential actions approval-gated.

The operational problem

Commerce stacks are becoming agent-addressable. Product data, inventory, pricing, order status, and fulfilment APIs are now callable by AI agents through protocols such as MCP and A2A.

That creates speed, but also a governance problem. If an assistant can discover, decide, and transact, the organisation must know which agent acted, what tools it was allowed to call, and where the financial boundary was enforced.

Most commerce copilots stay in one platform. The harder operational opportunity is cross-stack: SAP Commerce, Salesforce Commerce Cloud, Shopify, custom ERP, and internal pricing tools working through one governed agent path.

Proof artifact

Commerce tool-boundary map

Product, stock, and policy reads stay separate from order, price, credit, and cancellation writes.

Inspect governance boundary →

Governed workflow

Receive a customer, buyer, or operator intent such as replenishment, product comparison, or order-status resolution.
Query product, stock, account, and policy context through governed MCP tools.
Coordinate specialist agents for catalogue search, commercial terms, fulfilment feasibility, and risk classification.
Return a recommendation with explanation, confidence, and required approval boundary.
Escalate FINANCIAL actions such as order placement, price override, credit, or cancellation to human approval.

HARNEXA Harness controls

Every tool call is classified READ_ONLY, FINANCIAL, or DESTRUCTIVE before execution.
The assistant can suggest commercial action, but cannot execute financial writes without approval.
A persistent thread_id groups discovery, tool calls, recommendation, approval, and audit evidence.
Agent identity and revocation status are visible to operations and IT security stakeholders.
Protocol usage is documented so future MCP/A2A expansion does not create shadow-agent sprawl.

CLEAR scorecard

Measured before it scales.

CostUsage banded

Workflow pricing is constrained before outcome pricing is offered.

LatencyBuyer-safe

Response time must match commerce interaction expectations.

EfficiencyMinimal calls

The assistant avoids duplicate product, stock, and policy reads.

AccuracyGrounded

Recommendations cite the relevant inventory, account, and policy context.

ReliabilityAuditable

Failures resolve to a logged escalation state, not silent fallback.

Published industry pattern

2xPublic enterprise AI reports describe commerce assistants improving conversion when customers receive faster product and order guidance. HARNEXA adapts that pattern to governed European commerce operations with approval gates and audit evidence.

Sprint output

What the client receives

Agentic commerce workflow architecture
MCP/A2A tool boundary and permission map
Commerce-stack integration readiness report
Approval matrix for order, price, credit, and cancellation actions
AgentOps dashboard/report prototype for commerce stakeholders

Operator FAQ

Questions buyers ask before scoping.

Ready to scope this workflow with governance from day one?

Book a diagnostic ← All use cases