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AuraAssist

AuraAssist

by Alagapie
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

AuraAssist

A context-aware, hands-free home companion for the Amazon Alexa+ track. Built as a self-hosted MCP server (Streamable HTTP, MCP 2025-11-25+) with a web-based simulator that acts as an MCP client.

Features

  • Streamable HTTP MCP server at /mcp with tools: get_home_snapshot, describe_scene, find_object, get_recent_events, run_routine, control_device, generate_daily_briefing, set_user_preference

  • Routine orchestrator with confirmation flow (bedtime, leaving_home, morning)

  • Event memory (SQLite) and home-state model with mock devices

  • VLM scene description via Amazon Bedrock (mocked by default)

  • Privacy-first: no face ID, structured JSON, confirmations for sensitive actions

  • Minimal web simulator (Vite + React + TS) to call MCP tools and visualize state

Related MCP server: HomeBrain

Quick Start

1) Install Python deps

cd C:/Users/DELL/Desktop/MCP_SERVER/aura-assist
pip install -r requirements.txt

2) Run MCP server

uvicorn server.main:app --host 127.0.0.1 --port 8000 --reload

Server: http://127.0.0.1:8000/, MCP endpoint: http://127.0.0.1:8000/mcp

3) Run web simulator

cd web
npm i
npm run dev

UI: http://localhost:5173

MCP Testing

Use MCP Inspector or curl:

  • List tools: POST /mcp with initialize + tools/list (Streamable HTTP)

  • Call run_routine with {"routine_name":"bedtime","confirm":false} first, then confirm:true

Environment

Copy .env.example to .env and set AWS keys to use real Bedrock (optional).

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues

Resources

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