Trading Economics Calendar MCP Server

A Model Context Protocol (MCP) server that provides access to economic calendar events from Trading Economics. This server allows you to fetch economic events with various filters including countries, importance levels, and date ranges.

Features

• 📅 Fetch economic calendar events

• 🌍 Filter by major countries

• 📊 Filter by importance level (low, medium, high)

• 📆 Date range filtering

• 🔍 High-impact events filtering

• 🏛️ Country-specific event queries

Installation

From PyPI (when published)

pip install trading-economics-calendar-mcp

From Source

git clone <repository-url>
cd trading-economics-calendar-mcp
pip install -e .

Usage

As MCP Server

Start the server:

trading-economics-mcp

Available Tools

1. Get Economic Events

get_economic_events(
    countries=["United States", "Germany"],
    importance="high",
    start_date="2024-01-01",
    end_date="2024-01-31"
)

2. Get Today's Events

get_today_economic_events(
    countries=["United States"],
    importance="medium"
)

3. Get This Week's Events

get_week_economic_events(
    countries=["Japan", "United Kingdom"],
    importance="high"
)

4. Get Major Countries

get_major_countries()
# Returns: {"united_states": "United States", "germany": "Germany", ...}

5. Get Importance Levels

get_importance_levels()
# Returns: {"low": 1, "medium": 2, "high": 3}

6. Get High-Impact Events

get_high_impact_events(
    countries=["United States", "China"],
    start_date="2024-01-01",
    end_date="2024-01-31"
)

7. Get Events by Country

get_events_by_country(
    country="United States",
    start_date="2024-01-01",
    end_date="2024-01-07",
    importance="high"
)

Supported Countries

The server supports filtering by major economies:

• United States

• China

• Japan

• Germany

• United Kingdom

• France

• Italy

• Canada

• Australia

• Brazil

• India

• Russia

• South Korea

• Spain

• Mexico

• Netherlands

• Switzerland

• Belgium

• Sweden

• Austria

Response Format

Each economic event returns the following structure:

{
    "date": "2024-01-15",
    "time": "08:30",
    "country": "United States",
    "event": "Retail Sales",
    "importance": 3,
    "actual": "0.6%",
    "forecast": "0.4%",
    "previous": "0.3%"
}

Configuration

The server uses the following default settings:

• Base URL: https://tradingeconomics.com

• Request timeout: 30 seconds

• User agent: Modern browser string

Error Handling

The server includes comprehensive error handling:

• Network timeouts

• Invalid response parsing

• Missing data fields

• Rate limiting (when applicable)

Development

Setup Development Environment

git clone <repository-url>
cd trading-economics-calendar-mcp
pip install -e ".[dev]"

Run Tests

pytest

Code Formatting

black trading_economics_calendar/
flake8 trading_economics_calendar/
mypy trading_economics_calendar/

Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Add tests

5. Run the test suite

6. Submit a pull request

License

MIT License - see LICENSE file for details.

Disclaimer

This tool fetches publicly available data from Trading Economics. Please respect their terms of service and rate limits. This tool is for educational and research purposes.