IMF Data MCP Server: IMF API Integration & Data Insights

Key Features of IMF Data MCP Server: IMF API Integration & Data Insights?

• Dataset Discovery: Dynamically enumerate all available IMF datasets and their structural metadata
• Granular Data Access: Extract time-series data across major economic categories (e.g., financial stability, price indices) using standardized compact data formats
• Indicator Mapping: Resolve complex relationships between datasets and their constituent metrics through programmatic mappings
• Geographic Contextualization: Retrieve jurisdictional hierarchies and economic region classifications tied to specific datasets
• Query Orchestration: Leverage pre-structured query templates to construct valid API requests efficiently

Use cases of IMF Data MCP Server: IMF API Integration & Data Insights?

Economic analysts utilize this infrastructure to:

• Aggregate macroeconomic trends across jurisdictions for comparative studies
• Develop automated data pipelines for real-time financial monitoring systems
• Power interactive dashboards with validated IMF time-series metrics
• Conduct longitudinal analysis of fiscal policies using standardized indicator frameworks

FAQ from IMF Data MCP Server: IMF API Integration & Data Insights?

• Q: How do I handle authentication for restricted IMF datasets?
  A: The server currently supports open APIs; premium access requires direct IMF API credentials integration
• Q: Can I customize output formatting for specific reporting needs?
  A: Response structures are API-native, but output parsing utilities are provided for JSON/XML transformation
• Q: What's the recommended approach for high-volume data extraction?
  A: Use the batch mode endpoint with pagination control to manage API rate limits
• Q: How do I contribute to server enhancements?
  A: Submit feature requests or fork the open-source repository on GitHub

IMF Data MCP

Project Overview

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.

``