get_recommendations

Retrieve analyst recommendations for a specific stock symbol using Yahoo Finance data to inform investment decisions.

Instructions

Get analyst recommendations for a given symbol.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`symbol`	Yes	Stock symbol in Yahoo Finance format.

Implementation Reference

src/mcp_yahoo_finance/server.py:164-175 (handler)

The main handler function for the 'get_recommendations' tool. It takes a stock symbol, fetches the Ticker from yfinance, retrieves analyst recommendations, and returns them as a JSON string if it's a 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:220-235 (registration)

Registers all tools including 'get_recommendations' by generating Tool objects using generate_tool and returning them in list_tools().

@server.list_tools()
async def list_tools() -> list[Tool]:
    return [
        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),
        generate_tool(yf.get_news),
        generate_tool(yf.get_recommendations),
        generate_tool(yf.get_option_expiration_dates),
        generate_tool(yf.get_option_chain),
    ]

src/mcp_yahoo_finance/server.py:267-269 (registration)
The dispatch case in call_tool() that handles invocation of 'get_recommendations' by calling the handler with arguments and returning 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)

Helper function that dynamically generates the MCP Tool schema (including inputSchema from function signature and docstring) for 'get_recommendations' and other tools.

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)

MCP Yahoo Finance