Airbnb MCP

What is Airbnb MCP?

Airbnb MCP is a demonstration repository that integrates Airbnb MCP servers with LangChain and Groq using a browser-based interface. It is for developers looking to combine Airbnb listings search capabilities with AI-powered language models.

How to use Airbnb MCP?

Set up by initializing a uv project, creating a conda environment with Python 3.10, installing dependencies (langchain-groq, mcp-use), configuring a browser-mcp.json file with MCP servers, adding a Groq API key to a .env file, and running the app with python run app.py. The app is used within Cursor IDE after configuring the MCP servers in Cursor settings.

Key features of Airbnb MCP

• Integrates Airbnb MCP server via @openbnb/mcp-server-airbnb
• Uses LangChain and Groq for AI-powered interactions
• Browser-based interface with Playwright automation
• Search via DuckDuckGo MCP server
• Configured through a single browser-mcp.json file
• Runs inside Cursor IDE with local MCP server support

Use cases of Airbnb MCP

• Automating Airbnb property searches with natural language queries
• Building AI agents that can fetch and summarize Airbnb listings
• Combining web search and property data in a single workflow

FAQ from Airbnb MCP

What runtime dependencies are required?

You need Python 3.10, Node.js (for npx commands), uv, conda, and a Groq API key.

Which MCP servers are configured in browser-mcp.json?

The file includes three servers: playwright, @openbnb/mcp-server-airbnb, and duckduckgo-mcp-server.

How do I provide my API key?

Create a .env file in the project root with the line GROQ_API_KEY="your_key_here".

What is the purpose of the run app.py script?

The script launches the browser-based integration app after all dependencies and configurations are set up.

Do I need to use Cursor IDE?

Yes, the setup specifically requires Cursor IDE to configure and run the MCP servers from the chat interface.