{
  "author": {
    "name": "Amazon Web Services"
  },
  "description": "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).",
  "homepage": "https://github.com/aws/agent-toolkit-for-aws",
  "keywords": [
    "aws",
    "amazon",
    "amazon-web-services",
    "ai",
    "ai-agents",
    "agents",
    "agentcore",
    "bedrock",
    "amazon-bedrock",
    "iam",
    "deploy",
    "debug",
    "memory",
    "gateway",
    "policy",
    "cedar",
    "evaluation",
    "evals",
    "strands",
    "langgraph",
    "mcp",
    "a2a",
    "multi-agent",
    "tool-use",
    "rag",
    "vpc",
    "observability",
    "cloudwatch",
    "tracing",
    "x-ray",
    "production-hardening",
    "jwt",
    "sigv4",
    "oauth",
    "openapi",
    "code-interpreter",
    "browser-tool",
    "rate-limiting"
  ],
  "license": "Apache-2.0",
  "name": "aws-agents",
  "repository": "https://github.com/aws/agent-toolkit-for-aws",
  "skills": "./skills/",
  "mcpServers": "./.mcp.json",
  "version": "1.0.0"
}