Agent runtime
MCP Tool Registry
A governed catalog of tools, schemas, permissions, and usage policies that agents can discover and invoke.
Operating principle
Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.
Protocol-native tools
MCP turns internal APIs, files, data systems, and operational tools into a standard interface for agents. The hard part is not exposing tools. It is governing them.
- Typed schemas and tool documentation
- Permission scopes and approval requirements
- Environment and secret boundaries
- Trace logging for every invocation
Related resources
Agent Runtime
The execution layer for event-driven agents: routing, tool calls, approvals, memory, retries, traces, and deployment controls.
Governance
The policy layer for data access, tool permissions, human approvals, audit trails, and deployment boundaries.
Agent Observability
Trace-level visibility into model calls, retrieval, tools, decisions, approvals, costs, and failures.