Which integrations are available for this server?

Provides Amazon Bedrock-powered semantic memory recall and agent orchestration over Amazon Bee wearable context, including device status, diarized transcripts, action items, and task dispatch. Provides wearable context and tools for Apple Watch running Bee software, including device status, diarized transcripts, semantic memory search, and action items. Enables syncing extracted meeting commitments and action items to Jira. Enables syncing extracted meeting commitments and action items to Notion. Enables syncing extracted meeting commitments and action items to Slack.

How do I use BeeMind MCP Server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@BeeMind MCP Server what action items did I commit to in my last meeting?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

BeeMind MCP Server

by marufpstu

Overview Schema Source Related Servers Discussions Admin

TypeScript

Local

🐝 BeeMind: An Ambient AI Agent for Amazon Bee

Technical Subtitle

Proactive Memory, Commitment Tracking & MCP-Powered Tool Orchestration with Amazon Bedrock

Hackathon Track AWS Builder Challenge License: MIT

Built for the Build, Ship, Shape: Amazon Developer Hackathon 2026
Targeting the Bee (Wearable AI) Track, AWS Builder Mini Challenge, and Open Source Mini Challenge.

🌟 Overview

BeeMind is an ambient intelligence companion and open Model Context Protocol (MCP) server designed for the Amazon Bee Wearable ecosystem (Bee Frontier, Bee Eclipse, and Apple Watch running Bee software).

By converting continuous acoustic streams into actionable intelligence without storing raw audio, BeeMind powers:

🧠 Proactive Second Brain & Recall: Semantic Q&A over daily memories and recommendations using Amazon Bedrock embeddings.
🤝 Real-Time Meeting Commitments: Instant extraction of action items, assignees, and deadlines, syncing to Jira, Notion, and Slack.
👷 Hands-Free Field & Industrial Workflow: Voice-checked audit reports, vibration/pressure telemetry, and hazard alerts for deskless workers.
⚡ Ambient Agentic Bridge & Bee MCP Server: Open Model Context Protocol (MCP) server enabling external AI agents (Claude, Bedrock AgentCore) to interact with wearable context.

Related MCP server: @cogniahq/mcp

🏗️ Architecture

                       ┌────────────────────────────────────────┐
                       │  Amazon Bee Wearable / Apple Watch     │
                       │  (Acoustic Diarization & Telemetry)    │
                       └───────────────────┬────────────────────┘
                                           │
                        Bee CLI / REST Ingestion Endpoint
                                           │
                                           ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                         BeeMind Ambient Core Engine                         │
│                                                                             │
│   ┌────────────────────────┐                   ┌────────────────────────┐   │
│   │   Amazon Bedrock       │                   │    Model Context       │   │
│   │   Runtime Service      │                   │    Protocol (MCP)      │   │
│   │   (Claude 3.5 Sonnet / │◄─────────────────►│    stdio Server        │   │
│   │    Nova / Titan)       │                   │    (5 Active Tools)    │   │
│   └────────────────────────┘                   └────────────────────────┘   │
└──────────────────────────────────────┬──────────────────────────────────────┘
                                       │
                                       ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                    BeeMind Interactive Companion UI                         │
│                                                                             │
│   [Live Audio Stream]    [Second Brain]    [Action Items]    [Field Mode]   │
└─────────────────────────────────────────────────────────────────────────────┘

🚀 Quickstart & Setup

Prerequisites

Node.js 18+ (tested on Node.js v24)
npm or pnpm

1. Clone & Install

git clone <your-repo-url>
cd Amazon
npm install

2. Environment Variables (Optional)

Copy .env.example to .env.local:

cp .env.example .env.local

Note for Judges: If AWS credentials are not set, BeeMind runs automatically with its Intelligent Zero-Config Local Engine so you can evaluate all features immediately!

3. Run the Development Server

npm run dev

Open http://localhost:3000 in your browser.

4. Run the Model Context Protocol (MCP) Server

To connect BeeMind to Claude Desktop, Cursor, or any MCP-compatible agent client:

npm run mcp:run

MCP Configuration snippet (claude_desktop_config.json):

{
  "mcpServers": {
    "beemind-wearable": {
      "command": "npx",
      "args": ["tsx", "server/mcp/index.ts"],
      "cwd": "/path/to/project"
    }
  }
}

5. Run the Bee Wearable Stream Simulator

Simulate real-time streaming audio events into the companion dashboard:

npm run simulate:bee

🛠️ MCP Tools Reference

The BeeMind MCP server exposes 5 standardized tools:

MCP Tool Name	Description	Parameters
`bee_get_device_status`	Returns wearable battery level, connection, and recording mode	None
`bee_get_recent_transcripts`	Returns the latest diarized spoken transcripts with confidence	`limit`, `mode`
`bee_search_memory`	Semantic RAG query across user's wearable memory	`query`, `category`
`bee_get_action_items`	Retrieves extracted commitments and assigned tasks	`status`, `priority`
`bee_dispatch_task`	Dispatches autonomous agent workflows from spoken intent	`actionType`, `summary`

📁 Repository Structure

├── app/
│   ├── api/
│   │   ├── bedrock/chat/route.ts     # Natural language memory recall
│   │   ├── bedrock/status/route.ts   # Device & AI engine status
│   │   └── bee/stream/route.ts       # Audio chunk ingestion
│   ├── globals.css                   # Glassmorphism & audio waveform styles
│   ├── layout.tsx                    # Root layout with BeeMind branding
│   └── page.tsx                      # Crextio luxury bento companion app
├── lib/
│   ├── bedrock-service.ts            # AWS Bedrock + Zero-Config fallback engine
│   ├── bee-store.ts                  # Seed data & store definitions
│   └── types.ts                      # TypeScript models
├── public/
│   └── logo.png                      # Official BeeMind cybernetic logo
├── server/
│   ├── bee-simulator.ts              # CLI stream generator
│   └── mcp/index.ts                  # Official Model Context Protocol Server
├── AMAZON_FEEDBACK.md                # Feedback for Amazon Bee Developer team
├── DEMO_SCRIPT.md                    # 3-minute video pitch script
├── DEVPOST_SUBMISSION.md             # Devpost text ready to submit
├── LICENSE                           # Open source MIT license
└── package.json

📄 License

Released under the MIT License.

This server cannot be deployed

Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

Maintenance

ActivityMaintained

ResponsivenessNo issues

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