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Banxico MCP Server

get_unemployment_data

Retrieve current and historical unemployment rate data from Mexico's central bank (Banxico) for economic analysis and monitoring.

Instructions

Get unemployment rate data from Banxico.

Args: limit: Maximum number of recent data points (default: 24 for 2 years of monthly data)

Returns: Current and historical unemployment rate data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Implementation Reference

  • The handler function decorated with @mcp.tool(), which registers the tool and implements the core logic: fetches unemployment data (series SL1) from Banxico API, handles token check and errors, applies data limit, and returns formatted output.
    @mcp.tool()
    async def get_unemployment_data(limit: Optional[int] = 24) -> str:
        """
        Get unemployment rate data from Banxico.
        
        Args:
            limit: Maximum number of recent data points (default: 24 for 2 years of monthly data)
            
        Returns:
            Current and historical unemployment rate data
        """
        if not BANXICO_TOKEN:
            return "Error: BANXICO_API_TOKEN environment variable not set. Please configure your API token."
        
        endpoint = "series/SL1/datos"
        data = await make_banxico_request(endpoint, BANXICO_TOKEN)
        
        if not data:
            return "Failed to retrieve unemployment data. Please check your API token and network connection."
        
        # Apply limit if specified
        if limit and data.get("bmx", {}).get("series"):
            for series in data["bmx"]["series"]:
                if "datos" in series and len(series["datos"]) > limit:
                    series["datos"] = series["datos"][-limit:]
        
        return format_unemployment_data(data)
  • Supporting function that formats the raw unemployment data from Banxico API into a human-readable string, including emojis, units, recent data points with percentage formatting, and structured output.
    def format_unemployment_data(data: dict[str, Any]) -> str:
        """
        Format unemployment data with percentage symbols and labor market formatting.
        
        Args:
            data: Raw JSON response from Banxico API
            
        Returns:
            Formatted string with unemployment rate data
        """
        if not data or "bmx" not in data:
            return "No unemployment data available"
        
        series_list = data["bmx"].get("series", [])
        if not series_list:
            return "No unemployment series found"
        
        result = []
        for series in series_list:
            title = series.get("titulo", "Unknown Series")
            series_id = series.get("idSerie", "Unknown ID")
            unit = series.get("unidad", "")
            result.append(f"👥 {title} (ID: {series_id})")
            if unit:
                result.append(f"  Unit: {unit}")
            
            datos = series.get("datos", [])
            if not datos:
                result.append("  No data points available")
            else:
                result.append(f"  Total data points: {len(datos)}")
                # Show recent data points with percentage formatting
                display_count = min(len(datos), 12)  # Show more for unemployment trends
                for dato in datos[-display_count:]:
                    fecha = dato.get("fecha", "Unknown date")
                    valor = dato.get("dato", "N/A")
                    # Add percentage symbol for unemployment rate
                    if valor != "N/A" and valor is not None:
                        try:
                            valor_num = float(valor)
                            valor = f"{valor_num}%"
                        except (ValueError, TypeError):
                            pass
                    result.append(f"  {fecha}: {valor}")
            
            result.append("")  # Empty line between series
        
        return "\n".join(result)
  • General utility function used by the tool (and others) to perform asynchronous HTTP requests to the Banxico API, handling authentication, errors, and returning parsed JSON data.
    async def make_banxico_request(endpoint: str, token: str) -> dict[str, Any] | None:
        """
        Make a request to the Banxico SIE API with proper error handling.
        
        Args:
            endpoint: The API endpoint to call (without base URL)
            token: The Banxico API token
            
        Returns:
            JSON response data or None if request failed
        """
        url = f"{BANXICO_API_BASE}/{endpoint}"
        headers = {"User-Agent": USER_AGENT}
        params = {"token": token}
        
        try:
            async with httpx.AsyncClient() as client:
                response = await client.get(url, headers=headers, params=params, timeout=30.0)
                response.raise_for_status()
                return response.json()
        except httpx.HTTPError as e:
            logger.error(f"HTTP error occurred: {e}")
            return None
        except Exception as e:
            logger.error(f"An error occurred: {e}")
            return None

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