Build using Python FastMCP

pip install fastmcp

mcp_api_key = "<YOUR_API_KEY>"
mcp_server_url = "<PROVIDED_MCP_SERVER_URL>"

from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

import asyncio
import json

mcp_client = Client(
    transport=StreamableHttpTransport(
        mcp_server_url,
        headers={"x-api-key": mcp_api_key},
    ),
)

async def main():
    async with mcp_client as client:
        # List available tools
        tools = await client.list_tools()

        # Call search-statistics with a natural language query
        statistics = await client.call_tool("search-statistics",
                                            {"query": "What's the GDP of Japan?"})
        print(json.loads(statistics.content[0].text))

        # grab the first statistic id
        grab_statistic_id = json.loads(statistics.content[0].text)["items"][0]["identifier"]

        # fetch chart data for a specific statistic id
        statistic_chart_data = await client.call_tool("get-chart-data-by-id",
                                            {"id": int(grab_statistic_id)})

        statistic_id = json.loads(statistic_chart_data.content[0].text)
        chart_data = statistic_chart_data.content[1].text

if __name__ == "__main__":
    asyncio.run(main())