Screenpipe vs Weasley DeepMind

In-depth architectural comparison of the Screenpipe and Weasley DeepMind 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 Screenpipe 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 Screenpipe Details

W

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

Feature & Specification Comparison

Specification	Screenpipe Knowledge & Memory	W Weasley DeepMind Knowledge & Memory
Summary	Local-first workflow memory for AI agents. screenpipe lets MCP clients search selected screen, audio, app, and meeting context and turn real work into cited notes, SOPs, workflow reports, and automation candidates.	Secure, fragment-based long-term memory for MCP-compatible AI agents.
Category & Scope	Knowledge & Memory	Knowledge & Memory

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": {
    "screenpipe": {
      "command": "npx",
      "args": [
        "-y",
        "screenpipe"
      ]
    }
  }
}

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

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