# BeeMCP

> Use this tool when you need to integrate AI assistants with wearable lifelogging data, enabling seamless retrieval and management of conversations, facts, todos, and locations. It solves problems of data fragmentation and limited accessibility by bridging AI capabilities with Bee wearable data. The tool accepts inputs from Bee wearable devices and AI assistants, producing outputs in the form of organized conversations, facts, and tasks.

Canonical page: https://skillsregistry.net/skills/okgodoit-beemcp  
JSON: https://api.skillsregistry.net/v1/skills/okgodoit-beemcp

## Description

Unofficial MCP server that bridges AI assistants with Bee wearable lifelogging data, enabling retrieval and management of conversations, facts, todos, and locations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rupjrt9ub5)
- **Repository:** <https://github.com/OkGoDoIt/beemcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "okgodoit-beemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okgodoit-beemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okgodoit-beemcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt