M

Mandoline

Verified Integration
Author: @mandoline-aiCategory: ServerApplication
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status

Client Configuration

— Connect Mandoline to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "mandoline": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mandoline"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Empowers large language models and AI assistants to conduct self-evaluations, critique their performance, and continuously improve through a standardized evaluation framework.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Mandoline

It helps by enabling LLMs to self-evaluate using the Model Context Protocol (MCP), define custom evaluation metrics, score prompt and response pairs, and learn from historical results, fostering continuous performance enhancement.

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