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affine-mcp-server vs memory

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

affine-mcp-server
by DAWNCR0W
memory
by modelcontextprotocol
Stars★ 166★ 85,748
30d uses
Score5077
Official
Categories
ProductivityKnowledge GraphDeveloper Tools
Knowledge GraphAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

affine-mcp-server · Summary

Comprehensive MCP server for AFFiNE, exposing 84 tools for workspace, document, and database operations over stdio or HTTP.

memory · Summary

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

affine-mcp-server · Use cases

  • Connect Claude Desktop, Cursor, or other AI clients to AFFiNE workspaces for enhanced document creation and management
  • Automate database operations in AFFiNE through MCP tool calling in AI workflows
  • Create remote HTTP endpoints for browser-connected clients to interact with AFFiNE via standardized tools

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

affine-mcp-server · Install

Installation

  1. Install the CLI globally:
npm i -g affine-mcp-server
affine-mcp --version
  1. Or run ad-hoc:
npx -y -p affine-mcp-server affine-mcp -- --version
  1. Docker deployment:
docker run -d 
  -p 3000:3000 
  -e MCP_TRANSPORT=http 
  -e AFFINE_BASE_URL=https://your-affine-instance.com 
  -e AFFINE_API_TOKEN=ut_your_token 
  -e AFFINE_MCP_AUTH_MODE=bearer 
  -e AFFINE_MCP_HTTP_TOKEN=your-strong-secret 
  ghcr.io/dawncr0w/affine-mcp-server:latest

Claude Desktop Configuration

Add to your Claude Desktop config:

{
  "mcpServers": {
    "affine": {
      "command": "affine-mcp"
    }
  }
}

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.