Beemcp
BeeMCP is an unofficial MCP server used to connect the data of Bee wearable devices with large - language models (such as Claude), enabling AI assistants to access and manipulate users' personal data, including conversations, fact records, to - do lists, and location history.
2.5 points
9.5K

What is BeeMCP?

BeeMCP is a bridge server that connects your Bee wearable data with AI assistants like Claude. It allows your AI to securely access and manage your personal lifelogging data, including conversations, facts, reminders, and location history, through the Model Context Protocol standard.

How does it work?

After setup, your AI assistant can query your Bee data or create new entries when you ask questions like 'What did I discuss last week?' or 'Add milk to my shopping list'. The server handles secure communication with Bee's API.

Use Cases

Ideal for: 1) Reviewing past conversations 2) Managing reminders 3) Recording personal facts 4) Checking location history 5) Creating an AI - enhanced personal memory system

Key Features

Conversation Access
View and search all your recorded conversations through natural language queries
Fact Management
Create, update, and confirm personal facts that your AI can reference (e.g., dietary preferences)
Reminder System
Full todo list management, including creation, completion tracking, and deadlines
Location History
Query where you've been by time period (today/week/month/custom range)
Advantages
Gives AI assistants context about your life
Official API integration (secure)
Open - source and customizable
Works with popular AI clients like Claude
Limitations
Unofficial project (not supported by Bee)
Requires technical setup
Mobile app needed for some features
Limited to Bee wearable data sources

Setup Guide

Install Server
Install using Python package manager (recommended: uv)
Get API Key
Create an API key at Bee developer portal
Configure Client
Add server configuration to your AI client (Claude/Zed)

Example Interactions

Recall Conversation
Ask your AI about a past discussion
Update Preference
Correct your personal information

FAQ

Is my data secure?
What AI clients work with this?

Resources

Official Bee Developer Portal
API documentation and key management
GitHub Repository
Source code and issue tracking

Installation

Copy the following command to your Client for configuration
"mcpServers": {
  "beemcp": {
    "command": "uvx",
    "args": ["beemcp"],
    "env": {"BEE_API_TOKEN": "<YOUR API KEY HERE>"}
  }
}

"mcpServers": {
  "bee": {
    "command": "python",
    "args": ["-m", "beemcp.beemcp"],
    "env": {"BEE_API_TOKEN": "<YOUR API KEY HERE>"}
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.2K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.5K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
12.9K
4.5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
14.7K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
15.3K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.7K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
64.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.0K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.2K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.2K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase