Banxico MCP Server

Instructions

Implementation Reference

• banxico_mcp_server.py:570-596 (handler)

  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)
• banxico_mcp_server.py:272-319 (helper)

  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)
• banxico_mcp_server.py:43-69 (helper)

  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