anytype-mcp vs memory

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

	anytype-mcp by anyproto	memory by modelcontextprotocol
Stars	★ 420	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	Knowledge GraphProductivitySecurity	Knowledge GraphAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	this month	this month

anytype-mcp · Summary

MCP server for AI assistants to interact with Anytype's encrypted wiki through natural language commands.

memory · Summary

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

anytype-mcp · Use cases

Create and organize project spaces and tasks through conversational commands
Search and retrieve information across your encrypted knowledge base
Manage team collaboration by controlling spaces, members, and object permissions
Automate knowledge management workflows using AI assistants

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

anytype-mcp · Install

Installation

Get Your API Key

Open Anytype
Go to App Settings
Navigate to API Keys section
Click on Create new button

Configure Claude Desktop

{
  "mcpServers": {
    "anytype": {
      "command": "npx",
      "args": ["-y", "@anyproto/anytype-mcp"],
      "env": {
        "OPENAPI_MCP_HEADERS": "{\"Authorization\":\"Bearer <YOUR_API_KEY>\", \"Anytype-Version\":\"2025-11-08\"}"
      }
    }
  }
}

Alternative: Global Installation

npm install -g @anyproto/anytype-mcp

Then update your MCP configuration to use command: "anytype-mcp" instead of npx.

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.