What runtime dependencies are required?
You need Python 3.10, Node.js (for npx commands), uv, conda, and a Groq API key.
@suvraadeep
基本信息
integrating Airbnb MCP servers with LangChain and Groq using a browser-based interface
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Airbnb-mcp": {
"command": "uv",
"args": [
"init",
"Airbnb-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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