Weasley DeepMind vs Elefante

In-depth architectural comparison of the Weasley DeepMind and Elefante MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Weasley DeepMind when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Weasley DeepMind Details

Choose Elefante when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Elefante Details

Feature & Specification Comparison

Specification	Weasley DeepMind Knowledge & Memory	Elefante Knowledge & Memory
Summary	Secure, fragment-based long-term memory for MCP-compatible AI agents.	Open, Git-native memory protocol for MCP agents. Portable, versioned, human-editable.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "weasley-deepmind": {
      "command": "npx",
      "args": [
        "-y",
        "weasley-deepmind",
        "stdio"
      ]
    }
  }
}

{
  "mcpServers": {
    "elefante": {
      "command": "npx",
      "args": [
        "-y",
        "elefante-mcp"
      ]
    }
  }
}

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