What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools in a structured and secure manner. It standardizes how applications provide context to LLMs.

What is the XHS MCP Agent?

The XHS MCP Agent is a microservice that implements a RESTful API for accessing Xiaohongshu (小红书) data. It allows developers to easily integrate Xiaohongshu data into their applications.

What are the key features of the XHS MCP Agent?

Key features include a RESTful API, multiple client support, Docker containerization, easy deployment and scaling, and comprehensive API endpoints for accessing various types of Xiaohongshu data.

How do I deploy the XHS MCP Agent?

The XHS MCP Agent can be deployed using Docker. Simply clone the repository, configure the environment variables, and use Docker Compose to build and start the containers.

What API endpoints are available?

Available API endpoints include /clients for managing clients, endpoints for retrieving notes (/clients/{client_id}/note), searching notes and users (/clients/{client_id}/search/notes, /clients/{client_id}/search/users), and retrieving user information (/clients/{client_id}/user/info).

How does the XHS MCP Agent integrate with UBOS?

UBOS allows you to orchestrate AI agents that leverage the XHS MCP Agent to access and process Xiaohongshu data, connect to enterprise data sources, build custom AI agents, and create multi-agent systems.

What are the prerequisites for using the XHS MCP Agent?

You need Docker and Docker Compose installed on your system.

How do I access the API documentation?

API documentation is available in Swagger UI and ReDoc formats at http://localhost:8000/docs and http://localhost:8000/redoc after the server is running.