Skip to main content
Glama
c-cf

IMF Data MCP Server

by c-cf

fetch_bop_data

Retrieve time series data from the IMF Balance of Payments database by specifying frequency, country, indicator, and date range.

Instructions

Retrieves compact format time series data from the BOP database based on the input parameters. Args: freq (str): Frequency (e.g., "A" for annual, "Q" for quarterly, "M" for monthly). country (str): Country code, multiple country codes can be connected with "+". indicator (str): Indicator code. start (str | int): Start year. end (str | int): End year. Returns: str: Description of the queried data. Do not perform further analysis or retry if the query fails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freqYes
countryYes
indicatorYes
startYes
endYes

Implementation Reference

  • The main handler function for the 'fetch_bop_data' tool. It is registered via the @mcp.tool() decorator and implements the logic to fetch Balance of Payments (BOP) time series data from the IMF API, process it using process_imf_data, or return an error.
    @mcp.tool() def fetch_bop_data(freq: str, country: str, indicator: str, start: str | int, end: str | int) -> str: """ Retrieves compact format time series data from the BOP database based on the input parameters. Args: freq (str): Frequency (e.g., "A" for annual, "Q" for quarterly, "M" for monthly). country (str): Country code, multiple country codes can be connected with "+". indicator (str): Indicator code. start (str | int): Start year. end (str | int): End year. Returns: str: Description of the queried data. Do not perform further analysis or retry if the query fails. """ dimensions = f"{freq}.{country}.{indicator}" url = f"http://dataservices.imf.org/REST/SDMX_JSON.svc/CompactData/BOP/{dimensions}?startPeriod={start}&endPeriod={end}" try: response = requests.get(url) response.raise_for_status() data = response.json() return process_imf_data(data) except Exception as e: return f"Error fetching BOP data: {str(e)}"
  • Helper utility function imported and used by fetch_bop_data (and other tools) to parse the IMF JSON response into a human-readable string summary of the time series data.
    def process_imf_data(json_data: dict) -> str: """ Process IMF data and return a string with the information. :param: json_data(dict): JSON data from the IMF API :return: (str) A string with the information from the JSON data """ try: json_data = json_data["CompactData"] dataset = json_data["DataSet"] series_list = dataset["Series"] if isinstance(series_list, dict): series_list = [series_list] elif not isinstance(series_list, list): return f"Error: Expected series_list to be a list but got {type(series_list)}" output_texts = [] for series in series_list: if series is None: output_texts.append("Warning: No indicator value.") continue country = series.get("@REF_AREA", None) obs = series.get("Obs", {}) if isinstance(obs, dict): obs = [obs] elif not isinstance(obs, list): return f"Error: Expected obs to be a list but got {type(obs)}" for _obs in obs: if _obs is None: output_texts.append( f"Warning: No indicator value for {country} in that Year, You should not try to access the data of this country." ) continue time_period = _obs.get("@TIME_PERIOD", "that Year") obs_value = _obs.get("@OBS_VALUE") if obs_value is not None: text = f"In {time_period}, {country} had an indicator value of {float(obs_value):.2f}." output_texts.append(text) else: output_texts.append(f"Warning: No indicator value for {country} in {time_period}.") return "\n".join(output_texts) except KeyError as e: return f"Error processing IMF data: Missing key {str(e)}" except Exception as e: return f"Error processing IMF data: {str(e)}"
  • The @mcp.tool() decorator registers the fetch_bop_data function as an MCP tool, using the function name as the tool name.
    @mcp.tool()

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/c-cf/imf-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server