API Aggregator MCP Server

API Aggregator MCP Server

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs.

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API Aggregator MCP Server

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs through a single, consistent interface. Built for AI agents and LLMs, this server aggregates weather, news, and financial data into standardized tool calls.

Features

  • MCP Protocol Compliant: Full JSON-RPC 2.0 support with proper tool discovery
  • Multiple API Integrations: Weather, news, and stock market data
  • Unified Error Handling: Consistent error responses across all APIs
  • Type-Safe: Full type hints and Pydantic validation
  • Async Support: High-performance async/await throughout
  • Structured Logging: Rich, structured logs for monitoring
  • Environment-Based Config: Secure API key management

Quick Start

1. Installation

# Clone the repository
git clone <repository-url>
cd api-aggregator-mcp

# Install dependencies
pip install -r requirements.txt

2. Configuration

Create a .env file with your API keys:

# Required for weather data
OPENWEATHER_API_KEY=your_openweather_api_key_here

# Required for news data  
NEWS_API_KEY=your_news_api_key_here

# Required for stock data
ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here

# Optional server configuration
MCP_SERVER_HOST=localhost
MCP_SERVER_PORT=8000
MCP_SERVER_DEBUG=true
LOG_LEVEL=INFO

3. Get API Keys

4. Run the Server

python -m src.main

The server will start at http://localhost:8000

Available Tools

🌤️ Weather Tool: get_weather

Get current weather information for any city.

Parameters:

  • city (required): City name
  • country (optional): Country code (e.g., "US", "GB")
  • units (optional): Temperature units - "metric" (default), "imperial", or "kelvin"

Example:

{
  "city": "London",
  "country": "GB",
  "units": "metric"
}

Response:

{
  "location": {
    "city": "London",
    "country": "GB",
    "coordinates": {"latitude": 51.5074, "longitude": -0.1278}
  },
  "weather": {
    "condition": "Clouds",
    "description": "overcast clouds"
  },
  "temperature": {
    "current": 15.2,
    "feels_like": 14.8,
    "unit": "°C"
  },
  "humidity": "73%",
  "wind": {"speed": "3.5 m/s", "direction": "240°"}
}

📰 News Tool: get_news (Coming Soon)

Get latest news headlines by topic or region.

📈 Stock Tool: get_stock_price (Coming Soon)

Get current stock prices and financial data.

API Endpoints

Health Check

GET /

List Available Tools

GET /tools

Invoke Tool (REST)

POST /tools/{tool_name}
Content-Type: application/json

{
  "city": "New York",
  "units": "imperial"
}

MCP Protocol Endpoint

POST /mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "get_weather",
    "arguments": {
      "city": "Tokyo",
      "country": "JP"
    }
  },
  "id": "1"
}

Development

Project Structure

api-aggregator-mcp/
├── src/
│   ├── main.py           # Application entry point
│   ├── server.py         # MCP server implementation  
│   ├── tools/            # API tool implementations
│   │   ├── weather.py    # Weather API integration
│   │   ├── news.py       # News API integration (TODO)
│   │   └── stock.py      # Stock API integration (TODO)
│   └── utils/
│       ├── config.py     # Configuration management
│       └── errors.py     # Error handling utilities
├── tests/                # Unit tests
├── requirements.txt      # Dependencies
└── README.md            # This file

Running Tests

pytest tests/

Code Quality

# Format code
black src/

# Lint code  
flake8 src/

# Type checking
mypy src/

Adding New Tools

  1. Create a new file in src/tools/
  2. Implement the service class and handler function
  3. Define the tool schema
  4. Register in src/main.py

Example tool template:

# src/tools/example.py
async def example_handler(parameters: Dict[str, Any]) -> Dict[str, Any]:
    """Handler for example tool."""
    # Validate parameters
    # Call external API
    # Return normalized data
    pass

EXAMPLE_TOOL_SCHEMA = {
    "type": "object",
    "properties": {
        "param1": {"type": "string", "description": "..."},
    },
    "required": ["param1"],
}

Error Handling

All errors are returned in JSON-RPC format:

{
  "jsonrpc": "2.0",
  "error": {
    "code": -32001,
    "message": "API key missing for OpenWeatherMap",
    "data": {"api": "OpenWeatherMap"}
  },
  "id": "1"
}

Common error codes:

  • -32001: API key missing
  • -32002: API key invalid
  • -32003: External API error
  • -32004: Rate limit exceeded
  • -32602: Invalid parameters

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Ensure all tests pass
  5. Submit a pull request

License

MIT License - see LICENSE file for details.

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