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Glama
c-cf

IMF Data MCP Server

by c-cf
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
fetch_ifs_dataA
Retrieves compact format time series data from the IFS database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    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.
fetch_dot_dataB
Retrieves compact format time series data from the DOT database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    country (str): Country code, multiple country codes can be connected with "+".
    indicator (str): Indicator code.
    counterpart (str): Counterpart country 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.
fetch_bop_dataA
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.
fetch_cdis_dataB
Retrieves compact format time series data from the CDIS database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    country (str): Country code, multiple country codes can be connected with "+".
    indicator (str): Indicator code.
    counterpart (str): Counterpart country 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.
fetch_cpis_dataA
Retrieves compact format time series data from the CPIS database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    country (str): Country code, multiple country codes can be connected with "+".
    indicator (str): Indicator code.
    counter_country (str): Counterpart country 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.
fetch_gfsmab_dataB
Retrieves compact format time series data from the GFSMAB database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    country (str): Country code, multiple country codes can be connected with "+".
    unit (str): Unit code XDC or XDC_R_B1GQ (Percent of GDP).
    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.
fetch_mfs_dataB
Retrieves compact format time series data from the MFS database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    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.
fetch_fsi_dataB
Retrieves compact format time series data from the FSI database based on the input parameters.

Args:
    freq (str): Frequency (e.g., "A" for annual).
    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.
list_indicatorsB
Returns a list of indicators for the specified dataset, read from the corresponding .json file in the local indicators directory.

Args:
    dataset_id (str): Dataset ID, such as "IFS", "DOT", "BOP", etc.

Returns:
    list: List of indicators.
list_countriesB
Returns a list of available countries for the specified dataset, read from the corresponding .json file in the local areas directory.

Args:
    dataset_id (str): Dataset ID, such as "IFS", "DOT", "BOP", etc.

Returns:
    list: List of countries.

Prompts

Interactive templates invoked by user choice

NameDescription
imf_query_prompt Returns a prompt template explaining how to query IMF data with indicators and user intentions. Returns: str: A prompt template for guiding users on querying IMF data.

Resources

Contextual data attached and managed by the client

NameDescription
list_datasets Returns IMF Dataflow information (list of datasets). Returns: dict: A dictionary containing dataset IDs and their descriptions.
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 10 tools

Disambiguation5/5

Each tool has a clearly distinct purpose based on the dataset it targets (e.g., BOP, CDIS, CPIS, etc.), with no overlap in functionality. The two list tools (list_countries and list_indicators) are also distinct from the fetch tools, providing metadata support without ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: fetch_*_data for data retrieval tools and list_* for metadata tools. This predictable naming scheme makes it easy to understand each tool's function at a glance.

Tool Count5/5

With 10 tools, the server is well-scoped for an IMF data service. It includes 8 fetch tools for different datasets and 2 list tools for metadata, providing a balanced and focused set that covers core data access needs without being overwhelming.

Completeness4/5

The tool set provides comprehensive data retrieval across multiple IMF datasets and includes metadata listing tools, covering the essential read operations. A minor gap exists in lacking update, delete, or analysis tools, but this is reasonable for a data access server focused on fetching and listing.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources