MCP Catalogs
Home

obsidian-cli-rest vs memory

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

obsidian-cli-rest
by dsebastien
memory
by modelcontextprotocol
Stars★ 14★ 85,748
30d uses
Score4277
Official
Categories
ProductivityKnowledge GraphDeveloper Tools
Knowledge GraphAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

obsidian-cli-rest · Summary

Turns Obsidian CLI commands into an HTTP API and MCP server for automation and AI assistant integration.

memory · Summary

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

obsidian-cli-rest · Use cases

  • Automate note creation and modification from scripts or applications
  • Enable AI assistants like Claude or ChatGPT to interact with Obsidian vaults
  • Integrate Obsidian with existing workflows via standard HTTP requests
  • Programmatically manage Obsidian plugins, themes, and workspaces

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

obsidian-cli-rest · Install

Installation

  1. In Obsidian, go to **Settings → Community plugins**
  2. Disable **Restricted mode** if enabled
  3. Search for **REST and MCP server**, install and enable it

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "obsidian": {
      "command": "http",
      "args": ["http://127.0.0.1:27124/mcp"],
      "env": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Configuration

  1. Copy your API key from **Settings > REST and MCP server > Security**
  2. The server starts automatically on port 27124

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.