---
title: "Gemini MCP Integration"
sidebarTitle: "Gemini"
description: "Guide for integrating Google's Gemini models with PraisonAI agents using MCP"
icon: "google"
---

## Add Gemini Tool to AI Agent

```mermaid
flowchart LR
    In[In] --> Agent[AI Agent]
    Agent --> Tool[Airbnb MCP]
    Tool --> Agent
    Agent --> Out[Out]
    
    style In fill:#8B0000,color:#fff
    style Agent fill:#2E8B57,color:#fff
    style Tool fill:#FF5A5F,color:#fff
    style Out fill:#8B0000,color:#fff
```

## Quick Start

<Steps>
    <Step title="Set API Key">
        Set your Google API key as an environment variable in your terminal:
        ```zsh
        export GOOGLE_API_KEY=your_google_api_key_here
        ```
    </Step>

    <Step title="Create a file">
        Create a new file `gemini_airbnb.py` with the following code:
        ```python
        from praisonaiagents import Agent, MCP
        import os

        # Get API key from environment variable
        google_api_key = os.environ.get("GOOGLE_API_KEY")

        search_agent = Agent(
            instructions="""You help book apartments on Airbnb.""",
            llm="gemini/gemini-2.5-pro-exp-03-25",
            tools=MCP(
                command="npx",
                args=["-y", "@openbnb/mcp-server-airbnb", "--ignore-robots-txt"],
                env={"GOOGLE_API_KEY": google_api_key}
            )
        )

        search_agent.start("MUST USE airbnb_search Tool to Search. Search for Apartments in Paris for 2 nights. 04/28 - 04/30 for 2 adults. All Your Preference")
        ```
    </Step>

    <Step title="Install Dependencies">
        Make sure you have Node.js installed, as the MCP server requires it:
        ```bash
        pip install "praisonaiagents[llm]"
        ```
    </Step>

    <Step title="Run the Agent">
        Execute your script:
        ```bash
        python gemini_airbnb.py
        ```
    </Step>
</Steps>

<Note>
  **Requirements**
  - Python 3.10 or higher
  - Node.js installed on your system
  - Google API key for Gemini models
</Note>

## Features

<CardGroup cols={2}>
  <Card title="Gemini 2.5 Pro" icon="brain">
    Leverage Google's advanced Gemini 2.5 Pro model.
  </Card>
  <Card title="MCP Integration" icon="plug">
    Seamless integration with Model Context Protocol.
  </Card>
  <Card title="Airbnb Search" icon="hotel">
    Search for accommodations on Airbnb with natural language queries.
  </Card>
  <Card title="Environment Variables" icon="key">
    Securely pass API keys using environment variables.
  </Card>
</CardGroup>