{
  "$schema": "https://static.modelcontextprotocol.io/schemas/mcp-server-card/v1.json",
  "version": "1.0",
  "protocolVersion": "2025-06-18",
  "serverInfo": {
    "name": "auroramind-website",
    "title": "Auroramind Website Agent Discovery",
    "version": "1.0.0"
  },
  "description": "Public discovery card for Auroramind's agent-readable website resources, AI implementation guidance, ROI calculator, diagnostic flow, and Nexus RAG whitepaper.",
  "iconUrl": "https://auroramind.fr/logo_auroramind_fond_blanc.webp",
  "documentationUrl": "https://auroramind.fr/llms-full.txt",
  "transport": {
    "type": "streamable-http",
    "endpoint": "/.well-known/mcp/server-card.json"
  },
  "authentication": {
    "required": false,
    "schemes": []
  },
  "capabilities": {
    "tools": {
      "listChanged": false
    },
    "resources": {
      "subscribe": false,
      "listChanged": false
    },
    "prompts": {
      "listChanged": false
    }
  },
  "resources": [
    {
      "name": "llms_txt",
      "title": "Auroramind LLM Summary",
      "uri": "https://auroramind.fr/llms.txt",
      "description": "Concise agent-readable summary of Auroramind's offer and key pages.",
      "mimeType": "text/plain"
    },
    {
      "name": "llms_full",
      "title": "Auroramind Full LLM Context",
      "uri": "https://auroramind.fr/llms-full.txt",
      "description": "Detailed agent-readable context covering offers, use cases, terminology, and site flows.",
      "mimeType": "text/plain"
    },
    {
      "name": "agent_skills_index",
      "title": "Auroramind Agent Skills Index",
      "uri": "https://auroramind.fr/.well-known/agent-skills/index.json",
      "description": "Agent skills published by Auroramind for AI implementation, ROI estimation, diagnostic preparation, and Nexus discovery.",
      "mimeType": "application/json"
    },
    {
      "name": "site_capabilities",
      "title": "Auroramind Site Capabilities",
      "uri": "https://auroramind.fr/.well-known/site-capabilities.json",
      "description": "Machine-readable description of public website capabilities and conversion flows.",
      "mimeType": "application/json"
    }
  ],
  "tools": [
    {
      "name": "open_ai_diagnostic",
      "title": "Open AI Diagnostic",
      "description": "Open the Auroramind AI implementation guide at the diagnostic checklist section.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "name": "open_ai_roi_calculator",
      "title": "Open AI ROI Calculator",
      "description": "Open the Auroramind AI implementation guide at the ROI calculator section.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "name": "open_nexus_whitepaper",
      "title": "Open Nexus Whitepaper Page",
      "description": "Open the Nexus RAG solution page where users can request the whitepaper.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "name": "open_ai_project_contact",
      "title": "Open AI Project Contact",
      "description": "Open the Auroramind contact page to prepare a scoping call for an AI project.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    }
  ],
  "prompts": [
    {
      "name": "implement_ai_in_company",
      "title": "Implement AI in a company",
      "description": "Help a business leader structure an AI implementation roadmap using Auroramind's diagnostic, ROI, governance, and Nexus RAG resources.",
      "arguments": []
    }
  ],
  "instructions": "This is a static discovery card for public website resources. Auroramind does not expose a public remote MCP execution endpoint on the website; browser-level actions are exposed through WebMCP when supported.",
  "_meta": {
    "homepage": "https://auroramind.fr/fr/",
    "primaryLanguage": "fr",
    "availableLanguages": ["fr", "en"]
  }
}