I’m excited to introduce BeeMCP, an unofficial Model Context Protocol (MCP) server that connects your Bee wearable—a device designed to capture and summarize your conversations, locations, and notes—with AI chatbots like Claude Desktop, allowing you to interactively query your own recorded experiences, manage tasks, and retrieve context effortlessly. Give BeeMCP a try to start exploring this seamless integration of personal data and AI.

You might know I have a bit of an unhealthy obsession with wearables, lifelogging, and trying to augment reality or at least my own memory. From my early days with the Google Glass and more recently building the SDK for the Frame smart glasses, I’m always excited by tech that tries to seamlessly integrate into our lives. Add the recent explosion in AI capabilities, especially Large Language Models (LLMs), and things get really interesting.

Recently, I’ve been playing with the Bee wearable. It’s a neat little device designed to capture moments from your life – conversations, places visited, notes – essentially acting as an external memory aid. It listens, summarizes interactions, pulls out potential to-dos, and helps you build a personal knowledge base. Think of it as a dedicated lifelogger trying to be that “external brain” I dreamed about back in the Glass days.

Bee is cool on its own, but what’s really exciting is that Bee has an API! Simultaneously, i’ve been excited to follow the Model Context Protocol (MCP) as it gains popularity and I’ve been looking for a project to build on top of it.

So, naturally, I decided to build a bridge.

Introducing BeeMCP

I’m excited to announce BeeMCP - an unofficial Model Context Protocol (MCP) server for your Bee data.

Basically, BeeMCP runs locally (maybe I’ll figure out how to make a hosted version eventually) and acts as a bridge between your LLM client (like Claude Desktop or the Zed editor) and the Bee API. When your AI needs information from your Bee, it talks to BeeMCP using the standard MCP protocol, and BeeMCP grabs or updates the data in your Bee account using your API key.

This means you can now ask your AI assistant questions like:

  • "What important things did I discuss last week?"
  • "Remind me about Brad’s dietary preferences."
  • "Where was I last Tuesday afternoon?"
  • "Add ’Book flight tickets’ to my reminders."
  • "Please remember that I prefer morning meetings."

The LLM can use BeeMCP’s tools to list conversations, get specific conversation details, manage your facts, manage your to-dos, and query your location history.

It also exposes this data via standard MCP resources for clients that make better use of those.

Getting Started with Claude Desktop

The easiest way to try it out is to use the Claude desktop app. This won’t work from your phone or the website, it must be run on a computer.

  1. Get your Bee API key from developer.bee.computer.

  2. Set up you your Claude MCP config:

    • Open Claude, go to the settings (the hidden menu in the upper left if on Windows), then the “Developer” tab. Click the “Edit Config” button. This will open a folder on your computer highlighting a claude_desktop_config.json file.
    • Edit claude_desktop_config.json to have this content (replacing YOUR-BEE-API-KEY-HERE with your actual API key):
    {
    "mcpServers": {
        "beemcp": {
          "command": "uvx",
          "args": ["beemcp"],
          "env": {"BEE_API_TOKEN": "YOUR-BEE-API-KEY-HERE"}
        }
    }
}

  3. Restart Claude. You should now see a hammer icon with a list of tools.

If you have any trouble with this, there are more detailed instructions in the readme or check the official Claude MCP setup guide.

Surprisingly Useful

I think this intersection of personal lifelogging data and powerful AI assistants is incredibly compelling. Bee does a decent job capturing the raw material, and tools like BeeMCP allow us to start making that data interactive and useful in daily life via the AI tools I’m already using. It turns passive data into active knowledge you can converse with.

Try it Out!

Bee has a free Apple Watch app so you can try this out for free even without their hardware.

I’m excited to see if others find this useful. Give BeeMCP a try by checking out the repo! Let me know if you have ideas for improving it.