Govern every MCP tool call before it reaches the model.
MCP (Model Context Protocol) is how AI assistants and agents reach your business systems. Boundary is the governance layer in that path, deciding field by field what each call may return.
Your existing controls never see MCP traffic.
Watches data moving through channels it can see. An MCP response returned from a live system never crosses any of them.
Decides access at the session level. Once a connection exists, it has nothing to say about what a tool call returns.
Inspect what users send to the model. The sensitive half of MCP is the business data coming back out.
None of them governs what an MCP tool call returns from a live business system at request time. That is the layer Boundary adds.
Four steps, applied to every tool call.
- 1
Intercept
The tool call passes through Boundary's MCP endpoint on its way to the business system. Nothing reaches the model directly.
- 2
Classify
Every field in the response is classified in five layers before anything is returned, at the moment of the request.
- 3
Enforce
Allowed values pass. Sensitive values are tokenised. Restricted values are withheld. If classification cannot complete, the call fails closed.
- 4
Record
The decision is written to a hash-chained audit ledger: who asked, which tool, which fields, what was released.
If it speaks MCP, Boundary can govern it.
Point any MCP connector at Boundary, custom-built or off the shelf. Classify its fields once, then set policy per user, tool, system and field. Every connector shares the same policy engine and the same audit trail.
- Your CRM
- Your ticketing
- Your file stores
- Your internal APIs
Put a boundary between MCP and your business systems.
See field-level MCP governance running against a live system, end to end, in one session.