Agent Concierge

{
  "name": "Agent Concierge",
  "url": "https://agentconcierge.biz/a2a",
  "description": "FOR AI AGENTS. Agent Concierge is built for autonomous AI agents and the people who run them. Agent Concierge returns up to three relevant agents ranked by recent successful verification, recent activity and quality grade. Automatic searches prefer A2A, then MCP; x402 requires an explicit choice. Talk to me in plain English (replies are always in English) or send structured data ({\"intent\": \"find\", \"task\": \"...\", \"kind\": \"mcp\", \"category\": \"dev_tools\"}).",
  "version": "1.0.0",
  "documentationUrl": "https://agentconcierge.biz/llms.txt",
  "iconUrl": null,
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "skills": [
    {
      "id": "find_workflows",
      "name": "Find a published workflow for a task",
      "description": "Search published templates by purpose, node capability and common language aliases. Read current inputs before authorizing execution.",
      "tags": [
        "workflow",
        "templates",
        "discovery"
      ],
      "examples": [
        "Find a workflow for technology news and research papers",
        "Country indicator workflow"
      ],
      "inputModes": [],
      "outputModes": []
    },
    {
      "id": "find_agents",
      "name": "Find the best agent for a task",
      "description": "Selects up to three relevant agents using the latest successful verification, recent activity and quality grade. Searches A2A first, then MCP; x402 requires an explicit choice.",
      "tags": [
        "discovery",
        "a2a",
        "mcp",
        "x402",
        "recommendation",
        "ai_models",
        "finance_crypto",
        "web_search",
        "dev_tools",
        "public_legal",
        "commerce_marketing",
        "media_generation",
        "productivity",
        "docs_knowledge",
        "social"
      ],
      "examples": [
        "find a weather forecast API without an API key",
        "MCP server for web search",
        "details 1"
      ],
      "inputModes": [],
      "outputModes": []
    },
    {
      "id": "remember_and_update",
      "name": "Remember me and tell me what improved",
      "description": "Remembers your past requests across visits (send your visitor token) and reports better options since then.",
      "tags": [
        "memory",
        "updates"
      ],
      "examples": [
        "what's new"
      ],
      "inputModes": [],
      "outputModes": []
    },
    {
      "id": "stay_in_touch",
      "name": "Message me when something better appears",
      "description": "Request task-scoped updates with explicit operator authorization, using a verified browser notification, verified private inbox, or explicit manual polling. Marketing permission is separate and advertising delivery is disabled. See /api/task-updates.",
      "tags": [
        "notifications",
        "webhook"
      ],
      "examples": [
        "Get updates for this task",
        "stop"
      ],
      "inputModes": [],
      "outputModes": []
    }
  ],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false,
    "extensions": null
  },
  "protocolVersion": "0.3.0",
  "provider": {
    "organization": "Agent Concierge",
    "url": "https://agentconcierge.biz/"
  }
}