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OmniFlow: Agentic Alexa+ Life & Commerce Copilot

License: MIT MCP Spec Transport AWS Bedrock

Submission for "Build, Ship, Shape: Amazon Developer Hackathon"
Primary Track: Alexa+ (Agent Skill & Self-Hosted MCP Server)
Mini-Challenge: AWS Builder (Amazon Bedrock Integration)
Bonus Challenge: Product Feedback & Friction Log (+10% Bonus)


🌟 Overview

OmniFlow is an autonomous, multi-modal Alexa+ Agent Skill and self-hosted Model Context Protocol (MCP) Server compliant with the latest MCP specification version 2025-11-25 over Streamable HTTP.

Rather than simple single-turn voice Q&A, OmniFlow handles high-level life and commerce goals (e.g. "Plan a 3-day camping trip to Olympic National Park under $300 and buy needed gear"). It decomposes the goal into autonomous sub-steps, queries specialized tools over MCP, balances the user's budget, surfaces Prime-eligible gear, and delivers an interactive multi-modal screen experience (rich carousels, itinerary tabs, one-touch approval triggers) on Echo Show / Fire TV / Web clients.


Related MCP server: Commerce MCP App

🏗️ Architecture

flowchart TD
    User([User Voice or Touch Input]) --> WebClient[Alexa+ Multi-Modal Client & Web Simulator]
    WebClient -->|Streamable HTTP / SSE| MCPServer[OmniFlow MCP Server :4000]
    
    subgraph MCP Layer [Model Context Protocol Spec 2025-11-25]
        MCPServer --> Router[JSON-RPC 2.0 Router]
        Router --> T1[plan_itinerary]
        Router --> T2[search_amazon_products]
        Router --> T3[optimize_budget_cart]
        Router --> T4[confirm_order_execution]
    end

    subgraph AWS Intelligence Layer
        Router <--> Bedrock[Amazon Bedrock / Claude 3.5 Sonnet]
    end

    subgraph Multi-Modal Output Cards
        MCPServer --> C1[Itinerary Timeline Card]
        MCPServer --> C2[Amazon Prime Carousel Card]
        MCPServer --> C3[Budget & Savings Progress Card]
        MCPServer --> C4[1-Click Voice/Screen Order Card]
    end

    C1 & C2 & C3 & C4 --> WebClient

🛠️ MCP Tools Implemented

OmniFlow exposes 4 tools via standard MCP JSON-RPC 2.0 and Streamable HTTP:

Tool Name

Parameters

Description

plan_itinerary

destination, duration_days, trip_type, budget_limit

Formulates daily itineraries, outdoor activities, and weather forecasts.

search_amazon_products

query, category, max_price, prime_only

Searches product catalog with live prices, star ratings, and Prime eligibility.

optimize_budget_cart

items[], budget_limit

Reconciles items against budget ceiling, applies bundle discounts and tax.

confirm_order_execution

cart_id, total_amount, delivery_address, delivery_speed

Generates secured token for human-in-the-loop one-touch authorization.


🚀 Quickstart & Local Testing

Prerequisites

  • Node.js (v18+)

  • npm (v9+)

Installation

# Clone the repository
git clone https://github.com/your-username/omniflow-alexa-mcp.git
cd omniflow-alexa-mcp

# Install dependencies
npm install

# Run automated verification tests
npm test

# Start the MCP Server & Alexa+ Web Simulator
npm start

Accessing the Web Simulator

Open http://localhost:4000 in any modern web browser.

  • Tap "Tap to Speak" or select any sample prompt chip.

  • Click "MCP Protocol Inspector" at the top right to see live JSON-RPC 2.0 calls over Streamable HTTP in real time.

  • Tap "Confirm Order" to test human-in-the-loop one-touch purchasing.


📡 MCP Protocol Endpoints

  • Server Info: GET http://localhost:4000/mcp/info

  • Streamable HTTP Stream: GET http://localhost:4000/mcp/stream

  • JSON-RPC 2.0 Handler: POST http://localhost:4000/mcp

Example MCP tools/list Request:

curl -X POST http://localhost:4000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'

Example MCP tools/call Request:

curl -X POST http://localhost:4000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/call",
    "params": {
      "name": "search_amazon_products",
      "arguments": { "query": "camping tent", "prime_only": true }
    }
  }'

☁️ AWS Builder Mini-Challenge Integration

OmniFlow integrates Amazon Bedrock (@aws-sdk/client-bedrock-runtime) for autonomous reasoning and function dispatch:

  • Model: anthropic.claude-3-5-sonnet-20241022-v2:0 (or amazon.nova-pro-v1:0).

  • Function Calling: The Bedrock client receives JSON schemas directly exported from the MCP server's TOOLS array.

  • Fail-Safe Offline Mode: If AWS credentials are not configured in the host environment, OmniFlow automatically activates its built-in deterministic planning engine so judges and evaluators can experience the full multi-step workflow without mandatory AWS keys.

To provide your AWS credentials:

export AWS_REGION=us-east-1
export AWS_ACCESS_KEY_ID=your_key_id
export AWS_SECRET_ACCESS_KEY=your_secret_key

👥 Hackathon Reviewer Access

In accordance with official hackathon submission rules, this repository has been prepared with an MIT open-source license. If maintaining this repo privately, the following Amazon DevRel members should be added as Collaborators:

  • testing@devpost.com

  • chris-trag

  • knmeiss

  • giolaq

  • anishamalde

  • mosesroth

  • emersonsklar


📄 License

This project is licensed under the MIT License.

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