get_recommendations

Instructions

Implementation Reference

• src/mcp_yahoo_finance/server.py:20-31 (handler)

  The primary handler function implementing the tool logic: fetches analyst recommendations using yfinance's Ticker.get_recommendations(), formats as JSON if DataFrame.

  def get_recommendations(self, symbol: str) -> str:
      """Get analyst recommendations for a given symbol.
  
      Args:
          symbol (str): Stock symbol in Yahoo Finance format.
      """
      stock = Ticker(ticker=symbol, session=self.session)
      recommendations = stock.get_recommendations()
      print(recommendations)
      if isinstance(recommendations, pd.DataFrame):
          return f"{recommendations.to_json(orient='records', indent=2)}"
      return f"{recommendations}"

• src/mcp_yahoo_finance/server.py:204-218 (registration)

  Tool registration in the MCP server's list_tools() method, where generate_tool(yf.get_recommendations) creates and returns the Tool instance with schema.

  @server.list_tools()
  async def list_tools() -> list[Tool]:
      return [            
          generate_tool(yf.cmd_run),
          generate_tool(yf.get_recommendations),
          generate_tool(yf.get_news),
          generate_tool(yf.get_current_stock_price),
          generate_tool(yf.get_stock_price_by_date),
          generate_tool(yf.get_stock_price_date_range),
          generate_tool(yf.get_historical_stock_prices),
          generate_tool(yf.get_dividends),
          generate_tool(yf.get_income_statement),
          generate_tool(yf.get_cashflow),
          generate_tool(yf.get_earning_dates),
      ]

• src/mcp_yahoo_finance/server.py:250-252 (handler)

  MCP server call_tool dispatcher case that invokes the get_recommendations handler and returns the result as TextContent.

  case "get_recommendations":
      recommendations = yf.get_recommendations(**args)
      return [TextContent(type="text", text=recommendations)]

• src/mcp_yahoo_finance/utils.py:31-65 (schema)

  Dynamic schema generation for all tools, including get_recommendations, based on function signature, type annotations, and Google-style docstring.

  def generate_tool(func: Any) -> Tool:
      """Generates a tool schema from a Python function."""
      signature = inspect.signature(func)
      docstring = inspect.getdoc(func) or ""
      param_descriptions = parse_docstring(docstring)
  
      schema = {
          "name": func.__name__,
          "description": docstring.split("Args:")[0].strip(),
          "inputSchema": {
              "type": "object",
              "properties": {},
          },
      }
  
      for param_name, param in signature.parameters.items():
          param_type = (
              "number"
              if param.annotation is float
              else "string"
              if param.annotation is str
              else "string"
          )
          schema["inputSchema"]["properties"][param_name] = {
              "type": param_type,
              "description": param_descriptions.get(param_name, ""),
          }
  
          if "required" not in schema["inputSchema"]:
              schema["inputSchema"]["required"] = [param_name]
          else:
              if "=" not in str(param):
                  schema["inputSchema"]["required"].append(param_name)
  
      return Tool(**schema)

• src/mcp_yahoo_finance/utils.py:7-28 (helper)

  Helper function used by generate_tool to parse docstrings for parameter descriptions in the tool schema.

  def parse_docstring(docstring: str) -> dict[str, str]:
      """Parses a Google-style docstring to extract parameter descriptions."""
      descriptions = {}
      if not docstring:
          return descriptions
  
      lines = docstring.split("\n")
      current_param = None
  
      for line in lines:
          line = line.strip()
          if line.startswith("Args:"):
              continue
          elif line and "(" in line and ")" in line and ":" in line:
              param = line.split("(")[0].strip()
              desc = line.split("):")[1].strip()
              descriptions[param] = desc
              current_param = param
          elif current_param and line:
              descriptions[current_param] += " " + line.strip()
  
      return descriptions