What runtime dependencies are required?
You need Python 3.10, Node.js (for npx commands), uv, conda, and a Groq API key.
@suvraadeep
Basic information
integrating Airbnb MCP servers with LangChain and Groq using a browser-based interface
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Airbnb-mcp": {
"command": "uv",
"args": [
"init",
"Airbnb-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
You need Python 3.10, Node.js (for npx commands), uv, conda, and a Groq API key.
The file includes three servers: playwright, @openbnb/mcp-server-airbnb, and duckduckgo-mcp-server.
Create a `.env` file in the project root with the line `GROQ_API_KEY="your_key_here"`.
The script launches the browser-based integration app after all dependencies and configurations are set up.
Yes, the setup specifically requires Cursor IDE to configure and run the MCP servers from the chat interface.
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