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Add Gemini Tool to AI Agent

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Quick Start

1

Set API Key

Set your Google API key as an environment variable in your terminal:

export GOOGLE_API_KEY=your_google_api_key_here
2

Create a file

Create a new file gemini_airbnb.py with the following code:

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")
3

Install Dependencies

Make sure you have Node.js installed, as the MCP server requires it:

pip install "praisonaiagents[llm]"
4

Run the Agent

Execute your script:

python gemini_airbnb.py

Requirements

  • Python 3.10 or higher
  • Node.js installed on your system
  • Google API key for Gemini models

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Features

Gemini 2.5 Pro

Leverage Google’s advanced Gemini 2.5 Pro model.

MCP Integration

Seamless integration with Model Context Protocol.

Airbnb Search

Search for accommodations on Airbnb with natural language queries.

Environment Variables

Securely pass API keys using environment variables.

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