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MCP Server

Bring Breeze operations into MCP workflows.

MCP AI Clients Tool Access Scoped Actions Governance
MCP
Protocol
Compatible hosts
Client support
Guardrailed
Action model
Tenant-aware
Scope
First RMM with MCP — an execution authority for external AI

The MCP Server enables external AI clients to access Breeze resources and operational tools through the Model Context Protocol.

Why It Is Useful

Many teams run assistant workflows outside the Breeze UI. MCP integration lets those assistants query fleet context and initiate controlled operations while still relying on Breeze for enforcement and auditability.

Governance Continuity

MCP actions are still governed by Breeze controls:

  • role and permission checks
  • tenant isolation
  • risk-tier behavior
  • approval requirements for sensitive actions
  • execution and denial logging

Integration Scenarios

Typical use cases include assistant-driven triage, workflow orchestration across systems, and tool chaining where Breeze is the execution authority.

Why Teams Use It

MCP provides flexibility in client experience without giving up operational guardrails.

Capabilities

MCP Protocol Support

Breeze exposes fleet resources and operational tools through the Model Context Protocol for compatible AI client hosts.

Governance Continuity

MCP actions go through Breeze RBAC, tenant isolation, risk-tier evaluation, and approval workflows.

Tenant-Scoped Context

Fleet data and operational tool scope follow organization boundaries regardless of the AI client origin.

Execution and Denial Audit

Tool calls and denials through MCP are logged the same way as native AI assistant actions.