a2a/agent_card.json

{
  "name": "swot-researcher",
  "version": "1.0.0",
  "description": "Financial research agent that collects data from 6 MCP servers (Financials, Volatility, Macro, Valuation, News, Sentiment) for SWOT analysis.",
  "url": "http://localhost:8003",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "authentication": {
    "schemes": []
  },
  "defaultInputModes": ["text"],
  "defaultOutputModes": ["data"],
  "skills": [
    {
      "id": "research-company",
      "name": "Company Research",
      "description": "Fetch comprehensive financial data for a company from multiple sources including SEC EDGAR, Yahoo Finance, FRED, Tavily, and Finnhub.",
      "inputModes": ["text"],
      "outputModes": ["data"],
      "examples": [
        {
          "input": "Research Tesla",
          "output": "Aggregated financial data for TSLA including financials, volatility, macro indicators, valuation, news, and sentiment"
        },
        {
          "input": "Research AAPL Apple Inc",
          "output": "Aggregated financial data for Apple Inc"
        }
      ],
      "inputSchema": {
        "type": "object",
        "properties": {
          "company": {
            "type": "string",
            "description": "Company name or ticker symbol"
          }
        },
        "required": ["company"]
      }
    }
  ],
  "dataSources": [
    {
      "name": "SEC EDGAR",
      "description": "SEC filings, fundamentals, material events",
      "mcp": "financials-basket"
    },
    {
      "name": "Yahoo Finance",
      "description": "Stock prices, volatility, valuation ratios",
      "mcp": ["volatility-basket", "valuation-basket"]
    },
    {
      "name": "FRED",
      "description": "Federal Reserve economic data, macro indicators",
      "mcp": ["volatility-basket", "macro-basket"]
    },
    {
      "name": "Tavily",
      "description": "Web search for company news",
      "mcp": "news-basket"
    },
    {
      "name": "Finnhub",
      "description": "News sentiment analysis",
      "mcp": "sentiment-basket"
    }
  ]
}