> ## Documentation Index
> Fetch the complete documentation index at: https://docs.platform.statista.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Build using Python FastMCP

> Connect the Statista MCP Server to a Python FastMCP Client

<Info>
  This guide requires an installation of Python and `fastmcp` library. If you do not know what that is; this guide is not intended for you.
</Info>

<Steps>
  <Step title="Ensure that FastMCP is installed" icon="python">
    Run `pip install fastmcp` and read the [FastMCP documentation](https://gofastmcp.com/getting-started/welcome).

    ```sh theme={null}
    pip install fastmcp
    ```
  </Step>

  <Step title="Set provided Statista configuration details" icon="key">
    ```sh theme={null}
    mcp_api_key = "<YOUR_API_KEY>"
    mcp_server_url = "<PROVIDED_MCP_SERVER_URL>"
    ```
  </Step>

  <Step title="Run example client">
    ```py theme={null}
    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())
    ```
  </Step>
</Steps>