Build, deploy, and operate AI agents on AWS.
Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening (inbound auth, IAM, rate limiting, cold-start tuning).
MCP connector Server URL https://knowledge-mcp.global.api.awsCopy Login None Protocol MCP 2025-03-26 Tools Reads data5 _ _ _ _ _
Skills 8 in the Claude listing
Agents build Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Agents connect Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Agents debug Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Agents deploy Use when deploying your agent to AWS, or when a deploy has failed. Agents get started Use when a developer wants to create a new agent project or get started with AgentCore. Agents harden Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidan Agents optimize Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Agents pay Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits. 