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Banxico MCP Server

get_inflation_data

Retrieve inflation data from Mexico's central bank (Banxico) to analyze monthly, accumulated, or annual inflation trends with customizable data point limits.

Instructions

Get inflation data from Banxico.

Args: inflation_type: Type of inflation data ('monthly', 'accumulated', 'annual') limit: Maximum number of recent data points (default: 12)

Returns: Formatted inflation data with percentages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inflation_typeNomonthly
limitNo

Implementation Reference

  • Primary handler for get_inflation_data tool. Registered via @mcp.tool() decorator. Maps inflation_type to Banxico series IDs (SP30577 monthly, SP30579 accumulated, SP30578 annual), fetches data via API, applies limit to recent points, formats output using helper.
    @mcp.tool()
    async def get_inflation_data(inflation_type: str = "monthly", limit: Optional[int] = 12) -> str:
        """
        Get inflation data from Banxico.
        
        Args:
            inflation_type: Type of inflation data ('monthly', 'accumulated', 'annual')
            limit: Maximum number of recent data points (default: 12)
            
        Returns:
            Formatted inflation data with percentages
        """
        if not BANXICO_TOKEN:
            return "Error: BANXICO_API_TOKEN environment variable not set. Please configure your API token."
        
        # Map inflation types to series IDs
        series_map = {
            "monthly": "SP30577",      # Monthly Inflation
            "accumulated": "SP30579",   # Accumulated Inflation  
            "annual": "SP30578"        # Annual Inflation
        }
        
        if inflation_type not in series_map:
            return f"Invalid inflation type: {inflation_type}. Available types: {list(series_map.keys())}"
        
        series_id = series_map[inflation_type]
        endpoint = f"series/{series_id}/datos"
        data = await make_banxico_request(endpoint, BANXICO_TOKEN)
        
        if not data:
            return f"Failed to retrieve {inflation_type} inflation 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_inflation_data(data)
  • Helper function specifically for formatting inflation data: adds % symbols, shows recent data points (up to 10), structures output with emojis and series info.
    def format_inflation_data(data: dict[str, Any]) -> str:
        """
        Format inflation data with percentage symbols and better labeling.
        
        Args:
            data: Raw JSON response from Banxico API
            
        Returns:
            Formatted string with inflation data including percentage symbols
        """
        if not data or "bmx" not in data:
            return "No inflation data available"
        
        series_list = data["bmx"].get("series", [])
        if not series_list:
            return "No inflation series found"
        
        result = []
        for series in series_list:
            title = series.get("titulo", "Unknown Series")
            series_id = series.get("idSerie", "Unknown ID")
            result.append(f"📊 {title} (ID: {series_id})")
            
            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), 10)
                for dato in datos[-display_count:]:
                    fecha = dato.get("fecha", "Unknown date")
                    valor = dato.get("dato", "N/A")
                    # Add percentage symbol for inflation data
                    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)
  • Shared async helper for making HTTP requests to Banxico SIE API, used by get_inflation_data and other tools. Handles errors, authentication via token, and returns JSON or None.
    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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