Codeledger vs Yagami AI Context Firewall

In-depth architectural comparison of the Codeledger and Yagami AI Context Firewall 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

Choose Yagami AI Context Firewall 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 Yagami AI Context Firewall Details

Feature & Specification Comparison

Specification	Codeledger Knowledge & Memory	Yagami AI Context Firewall Knowledge & Memory
Summary	Deterministic context selection for AI coding agents. Local memory that compounds across sessions.	Govern model, retrieval, memory, and tool access for AI applications and 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": {
    "codeledger": {
      "command": "npx",
      "args": [
        "-y",
        "@codeledger/cli"
      ]
    }
  }
}

{
  "mcpServers": {
    "yagami-ai-context-firewall": {
      "command": "uvx",
      "args": [
        "yagami"
      ]
    }
  }
}

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