---
title: "Airbnb MCP Integration"
sidebarTitle: "Airbnb"
description: "Guide for integrating Airbnb booking capabilities with PraisonAI agents using MCP"
icon: "airbnb"
---

## Add Airbnb 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 OpenAI API key as an environment variable in your terminal:
        ```bash
        export OPENAI_API_KEY=your_openai_api_key_here
        ```
    </Step>

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

        search_agent = Agent(
            instructions="""You help book apartments on Airbnb.""",
            llm="gpt-4o-mini",
            tools=MCP("npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt")
        )

        search_agent.start("I want to book an apartment in Paris for 2 nights. 03/28 - 03/30 for 2 adults")
        ```
    </Step>

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

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

<Note>
  **Requirements**
  - Python 3.10 or higher
  - Node.js installed on your system
  - OpenAI API key (for the agent's LLM)
</Note>

## Gradio UI 

```python
from praisonaiagents import Agent, MCP
import gradio as gr

def search_airbnb(query):
    agent = Agent(
        instructions="You help book apartments on Airbnb.",
        llm="gpt-4o-mini",
        tools=MCP("npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt")
    )
    result = agent.start(query)
    return f"## Airbnb Search Results\n\n{result}"

demo = gr.Interface(
    fn=search_airbnb,
    inputs=gr.Textbox(placeholder="I want to book an apartment in Paris for 2 nights..."),
    outputs=gr.Markdown(),
    title="Airbnb Booking Assistant",
    description="Enter your booking requirements below:"
)

if __name__ == "__main__":
    demo.launch()
```

## Features

<CardGroup cols={2}>
  <Card title="Accommodation Search" icon="hotel">
    Search for accommodations on Airbnb with natural language queries.
  </Card>
  <Card title="MCP Integration" icon="plug">
    Seamless integration with Model Context Protocol.
  </Card>
  <Card title="Booking Details" icon="calendar">
    Specify dates, guests, and location preferences in natural language.
  </Card>
  <Card title="NPM Package" icon="js">
    Leverages the official Airbnb MCP server package.
  </Card>
</CardGroup>