sample-agentic-retail-dynamic-pricing-demo MCP Server
aws-samples/sample-agentic-retail-dynamic-pricing-demo
Multi-agent AI system for autonomous retail pricing optimization using Amazon Bedrock AgentCore. 6 specialized agents orchestrate competitive intelligence, demand forecasting, and strategy synthesis to generate ranked pricing scenarios with human-in-the-loop governance.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
aws-samples/sample-agentic-retail-dynamic-pricing-demo is a Python tool licensed under MIT-0. Multi-agent AI system for autonomous retail pricing optimization using Amazon Bedrock AgentCore. 6 specialized agents orchestrate competitive intelligence, demand forecasting, and strategy synthesis to generate ranked pricing scenarios with human-in-the-loop governance.
Ranked #9982 out of 24840 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2 stars → early stage
Last commit 3d ago → actively maintained
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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