
IMF Data MCP Server
The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
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README
IMF Data MCP
This MCP server integrates with the free IMF data API to provide a set of tools and resources for retrieving and processing economic data. It enables users to query datasets, fetch time series data, and list available indicators and countries, making it easier to work with IMF data in a structured and programmatic way.
Features
- List Datasets: Retrieve a list of all available IMF datasets using the Dataflow API.
- Get Dataset Structure: Fetch the structure of a specified dataset via the DataStructure API.
- Fetch Time Series Data: Retrieve time series data for various datasets (e.g., CDIS, CPIS, MFS, IFS, etc.) using the CompactData API.
- List Indicators: List all available indicators for a specific dataset using the DataMapper API.
- List Countries: Retrieve a list of available countries for a specific dataset.
- Query Prompt Template: Provide a query prompt template to guide users on how to query data with indicators and intentions.
Installation and Usage Guide
Using uv
(Recommended)
You can run the server directly using uvx
without additional installation:
uvx imf-data-mcp
Using PIP
Alternatively, you can install the server using pip:
pip install imf-data-mcp
After installation, run the server with:
python -m imf_data_mcp
Configuration
You can configure the server to suit different use cases. For example, to integrate with a specific application, you might add the following configuration:
{
"mcpServers": {
"imf": {
"command": "uvx",
"args": ["imf-data-mcp"]
}
}
}
Debugging
To debug the server, you can use the MCP Inspector. For installations using uvx, run:
npx @modelcontextprotocol/inspector uvx imf-data-mcp
Contribution Guide
We welcome contributions to the imf-data-mcp project. Whether it's adding new tools, enhancing existing features, or improving documentation, your input is highly valuable. Please feel free to submit pull requests or open issues.
License
This project is licensed under the Apache 2.0 License. See the LICENSE file for details.
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