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Midas

Verified Integration
Author: @Ajitkumar-1001•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Python#Git#AI#GitHub#Node.js

Client Configuration

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

System Overview

Provides an AI-powered full-stack platform for skin cancer detection and analysis.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Midas

Midas utilizes cutting-edge deep learning models (like EfficientNet, ResNet, Vision Transformers) to perform 7-class skin lesion classification. It automatically provides real-time risk level assessments (HIGH/MEDIUM/LOW) based on its analysis.

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