mcp-bear vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-bear by jkawamoto	memory by modelcontextprotocol
Stars	★ 70	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	Productivitynote-takingOther	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	3 mo ago	this month

mcp-bear · Summary

MCP server for Bear note-taking app with multiple client support and good documentation.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

mcp-bear · Use cases

Automating note creation and organization between Bear and AI assistants
Integrating Bear notes into AI workflows for enhanced content processing
Managing Bear tags and notes programmatically through MCP clients

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

mcp-bear · Install

Installation

Install uv on your system

Set the BEAR_API_TOKEN environment variable to your API token

Configure in your MCP client:

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "bear": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/jkawamoto/mcp-bear",
        "mcp-bear",
        "--token",
        "<YOUR_TOKEN>"
      ]
    }
  }
}

Goose

Add to ~/.config/goose/config.yaml:

extensions:
  bear:
    name: Bear
    cmd: uvx
    args: [--from, git+https://github.com/jkawamoto/mcp-bear, mcp-bear]
    envs: { "BEAR_API_TOKEN": "<YOUR_TOKEN>" }
    enabled: true
    type: stdio

LM Studio

Click the install button from the repository page or manually configure.

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.