Financial Datasets MCP Server

Instructions

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)

Implementation Reference

• server.py:201-201 (registration)

  The @mcp.tool() decorator registers the get_company_news function as an MCP tool in the FastMCP server.

  @mcp.tool()

• server.py:202-222 (handler)

  The handler function that fetches news articles for the given ticker symbol from the Financial Datasets API, processes the response, handles errors, and returns the news data as a formatted JSON string.

  async def get_company_news(ticker: str) -> str:
      """Get news for a company.
  
      Args:
          ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
      """
      # Fetch data from the API
      url = f"{FINANCIAL_DATASETS_API_BASE}/news/?ticker={ticker}"
      data = await make_request(url)
  
      # Check if data is found
      if not data:
          return "Unable to fetch news or no news found."
  
      # Extract the news
      news = data.get("news", [])
  
      # Check if news are found
      if not news:
          return "Unable to fetch news or no news found."
      return json.dumps(news, indent=2)

• server.py:25-41 (helper)

  Helper function used by get_company_news (and other tools) to make authenticated HTTP GET requests to the Financial Datasets API.

  async def make_request(url: str) -> dict[str, any] | None:
      """Make a request to the Financial Datasets API with proper error handling."""
      # Load environment variables from .env file
      load_dotenv()
      
      headers = {}
      if api_key := os.environ.get("FINANCIAL_DATASETS_API_KEY"):
          headers["X-API-KEY"] = api_key
  
      async with httpx.AsyncClient() as client:
          try:
              response = await client.get(url, headers=headers, timeout=30.0)
              response.raise_for_status()
              return response.json()
          except Exception as e:
              return {"Error": str(e)}