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macsiah/bee-agent

Score: 47.9 Rank #93

Hybrid MCP server for Bee wearable

Overview

macsiah/bee-agent is a Python MCP server licensed under MIT. Hybrid MCP server for Bee wearable

Ranked #93 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

Forks 0
Description Brief
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

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Matched Queries

"mcp server""mcp-server"

From the README

# Bee Agent for OpenCLAW

A real-time intelligence system for the [Bee wearable AI](https://bee.computer) device. Monitors your Bee's event stream, captures conversations and notes, classifies content into categories, executes voice commands (send messages, set reminders), and feeds everything into OpenCLAW's memory for long-term recall.

Built for [OpenCLAW](https://github.com/openclaw) but also works standalone with Claude Desktop or Claude Code.

## What It Does

You wear your Bee throughout the day. When you push the button, it records a conversation. When you hold the button, it captures a dictated note. This agent sits in the background, listens to the Bee's real-time event stream, and does five things with that data:

1. **Captures and stores** every conversation transcript, journal note, and todo
2. **Classifies** each piece of content into categories (work, personal, health, projects, etc.)
3. **Routes** classified content to three places simultaneously: categorized JSON inbox
Read full README on GitHub →
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