MCP Governance at the Tool Execution Boundary
Model Context Protocol can give AI agents standardized access to tools and data. MCP governance addresses the separate question of whether a consequential tool action should be authorized to execute.
Tool access is not execution authority
Connecting an MCP server or exposing a tool makes a capability reachable. It does not automatically establish that every agent should be allowed to invoke every consequential operation.
Governance therefore needs to distinguish tool discovery from action authority.
Where an enforcement boundary fits
For consequential MCP tool calls, an execution-control layer can evaluate the proposed action before the tool performs its side effect. The integration must then enforce the governance result rather than treating it as advisory.
The same pattern applies to non-MCP tools, APIs, infrastructure adapters and other execution surfaces.
Sentinel and MCP
Sentinel's governance model can be placed in an explicitly integrated tool execution path where the proposed action is submitted for identity, authority and policy evaluation before execution.
This page does not claim that Sentinel automatically controls every MCP server or tool. Enforcement exists only where the tool path is actually wired through the Sentinel boundary.
Governance controls for tools
Relevant controls include agent identity, capability scope, target constraints, deterministic policy, approval requirements, expiry, replay protection and evidence of the resulting decision.
Together they provide a stronger boundary than relying solely on natural-language instructions telling an agent which tools it should or should not use.