- ClientQuestion and user context
- Access boundaryIdentity, scope, validation
- Data sourceAuthorized record and timestamp
What does MCP solve?
Model Context Protocol defines a shared interface through which an application exposes resources and tools to an AI client. Resources provide readable context; tools expose callable functions such as queries or operations. This distinction helps separate reading a document from changing a system.
For example, a maintenance assistant could read a device status alongside its maintenance instructions. The status timestamp, unit and device identity should accompany the answer. Missing or stale data should not become a confident operational recommendation.
Check permission on every request
Establishing a connection does not grant access to every record. Tenant, user, role and record scope must be checked on the server. Search results, caches and logs should respect the same boundaries. A record unavailable to one user must not appear through another user’s cached answer.
Narrow, read-only queries are a useful starting point. Tools that change state need validated inputs, explicit authorization, clear presentation of effects and auditable records. A “read-only” annotation in a tool definition is not an enforcement mechanism.
Measure more than answer quality
A pilot should evaluate unauthorized disclosure, source attribution, freshness and failure behavior alongside answer accuracy. During an outage, acknowledging unavailable data is more useful than presenting an old result as current. Repeated operation calls need separate tests.
Gokbilge Tech’s platform and field integration capabilities are relevant to designing these data boundaries. The product links below show application contexts; they do not imply a ready-made MCP connector in every product. Integration scope depends on the available APIs and access model.
Technical references
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