Google GenAI

MCPAdapt offers integration with Google's genai SDK through its adapter system. Let's explore how to use MCPAdapt with Google GenAI.

Using MCPAdapt Google GenAI Adapter

First, ensure you have the necessary dependencies installed:

pip install mcpadapt[google-genai]

You'll also need to set up your Google API key. You can get this from the Google AI Studio.

Creating a Simple Echo Server

First, let's create an MCP server using FastMCP notation:

# echo.py
from mcp.server.fastmcp import FastMCP
from pydantic import Field

# Create server
mcp = FastMCP("Echo Server")

@mcp.tool()
def echo_tool(text: str = Field(description="The text to echo")) -> str:
    """Echo the input text

    Args:
        text (str): The text to echo

    Returns:
        str: The echoed text
    """
    return text

mcp.run()

Using the Echo Server with Google GenAI

Here's how to interact with the server using Google's Generative AI:

import os
from google import genai
from google.genai import types
from mcp import StdioServerParameters

from mcpadapt.core import MCPAdapt
from mcpadapt.google_genai_adapter import GoogleGenAIAdapter

# Initialize Google GenAI client
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))

# Create server parameters
server_params = StdioServerParameters(
    command="uv",
    args=["run", "echo.py"]
)

async def run():
    async with MCPAdapt(
        server_params,
        GoogleGenAIAdapter(),
    ) as adapted_tools:
        # Unpack tools and tool_functions
        google_tools, tool_functions = zip(*adapted_tools)
        tool_functions = dict(tool_functions)

        prompt = "Please echo back 'Hello, World!'"

        # Generate content with function declarations
        response = client.models.generate_content(
            model="gemini-2.0-flash",
            contents=prompt,
            config=types.GenerateContentConfig(
                temperature=0.7,
                tools=google_tools,
            ),
        )

        # Handle the function call
        if response.candidates[0].content.parts[0].function_call:
            function_call = response.candidates[0].content.parts[0].function_call
            result = await tool_functions[function_call.name](function_call.args)
            print(result.content[0].text)
        else:
            print("No function call found in the response.")
            print(response.text)

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

Real-World Example: Airbnb MCP Server

Here's a real-world example using the Airbnb MCP server with Google GenAI:

import os
from google import genai
from google.genai import types
from mcp import StdioServerParameters

from mcpadapt.core import MCPAdapt
from mcpadapt.google_genai_adapter import GoogleGenAIAdapter

# Initialize Google GenAI client
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))

# Create server parameters for Airbnb MCP
server_params = StdioServerParameters(
    command="npx",
    args=[
        "-y",
        "@openbnb/mcp-server-airbnb",
        "--ignore-robots-txt",
    ],
)

async def run():
    async with MCPAdapt(
        server_params,
        GoogleGenAIAdapter(),
    ) as adapted_tools:
        # Unpack tools and tool_functions
        google_tools, tool_functions = zip(*adapted_tools)
        tool_functions = dict(tool_functions)

        prompt = "I want to book an apartment in Paris for 2 nights, March 28-30"

        # Generate content with function declarations
        response = client.models.generate_content(
            model="gemini-2.0-flash",
            contents=prompt,
            config=types.GenerateContentConfig(
                temperature=0.7,
                tools=google_tools,
            ),
        )

        # Handle the function call
        if response.candidates[0].content.parts[0].function_call:
            function_call = response.candidates[0].content.parts[0].function_call
            result = await tool_functions[function_call.name](function_call.args)
            print(result.content[0].text)
        else:
            print("No function call found in the response.")
            print(response.text)

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

Important Notes:

• Make sure to set your GEMINI_API_KEY in your environment variables
• The examples work with both synchronous and asynchronous code
• Remote MCP servers are supported via Server Sent Events (SSE). See the quickstart SSE guide

Full Working Code Example

You can find a fully working script of the Airbnb example here