{"id":"aws-samples-sample-agentic-ai-web","name":"sample-agentic-ai-web","af_score":49.0,"security_score":58.0,"reliability_score":27.5,"what_it_does":"Sample Python project showing how to build an agentic web automation assistant using AWS Bedrock (Claude and Amazon Nova) with tool use, human-in-the-loop interruptions, and vision (screenshots). Includes progressive steps culminating in an MCP (Model Context Protocol) client/server refactor and conversation history/token-management enhancements.","best_when":"You want a learning/reference implementation for agentic web browsing with Bedrock + vision tools and an MCP-style tool architecture.","avoid_when":"You need a managed API/SaaS interface, strong production reliability guarantees, or documented security/compliance controls beyond basic AWS usage.","last_evaluated":"2026-03-30T15:23:32.275079+00:00","has_mcp":true,"has_api":false,"auth_methods":["AWS CLI credentials for Bedrock access (implied by AWS Bedrock configuration note)","Local process authentication via AWS access setup"],"has_free_tier":false,"known_gotchas":["Browser/UI statefulness: retries may duplicate clicks/inputs unless guarded","Vision-based clicking may be brittle across dynamic pages/layout changes","Token/cost control depends on conversation summarization approach; misconfiguration could increase context size","MCP client/server coordination via stdio requires correct lifecycle management"],"error_quality":0.0}