AWS Agent Registry enables runtime tool discovery for agents
- AWS Agent Registry is a managed catalog for registering and discovering MCP servers, agents, and agent skills.
- At runtime, an orchestrator can search approved, discoverable records and build clients from their MCP or A2A descriptors; search results do not include invocation credentials.
- The sample exposes an MCP server through Amazon Bedrock AgentCore Gateway and runs the orchestrator and two A2A agents on AgentCore runtime.
- With manual approval enabled, records move through DRAFT, PENDING_APPROVAL, and APPROVED states, and only approved records are available through the Registry data plane.
- The sample performs a fresh search for each request and creates an inner agent with only the discovered capabilities, then tears down its clients after the turn.
Our take
Compared with hardcoding tools in an orchestrator, runtime discovery can let teams add compatible, approved records without tool-specific code changes or an orchestrator redeploy. It also adds search, approval, and separate authentication work for each invoked capability. For small, stable catalogs or fixed pipelines, explicit wiring may remain simpler.
Sources
- Discover tools at runtime with AWS Agent Registry · AWS Machine Learning
The summary and analysis were generated by AI. The original sources are authoritative. AI content policy