Codeledger vs MyPenny

In-depth architectural comparison of the Codeledger and MyPenny 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 Codeledger 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 Codeledger Details

M

Choose MyPenny 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 MyPenny Details

Feature & Specification Comparison

Specification	Codeledger Knowledge & Memory	M MyPenny Knowledge & Memory
Summary	Deterministic context selection for AI coding agents. Local memory that compounds across sessions.	Portable AI memory you own. Keep memories and notes across Claude, ChatGPT, and other AI tools.
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": {
    "codeledger": {
      "command": "npx",
      "args": [
        "-y",
        "@codeledger/cli"
      ]
    }
  }
}

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

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