Skip to main content
This guide shows you how to set up the Statista MCP server with the Gemini API using the google-genai python SDK.
In order to connect the Statista MCP server to the Gemini API, you’ll need to wrap it in a FastMCP Client, since Google’s Gemini API does not directly support MCP. This means that you’ll need both fastmcp and google-genai python packages installed. In order to invoke the Statista MCP Server via Gemini’s API, run the following: 
from google import genai
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

# Set up MCP client wrapper with FastMCP
mcp_client = Client(
    transport=StreamableHttpTransport(
        mcp_server_url,
        headers={"x-api-key": YOUR_STATISTA_API_KEY},
    ),
)

# Set up Google genai client
client = genai.Client(api_key=YOUR_GEMINI_API_KEY)

# Generate content with Gemini
async with mcp_client:
    response = await client.aio.models.generate_content(
        model="gemini-1.5-flash", # or any gemini model of your choice
        contents=YOUR_PROMPT_STRING,
        config=genai.types.GenerateContentConfig(
            temperature=0,
            tools=[mcp_client.session],
        ),
    )
    print(response.text)