python-sdk vs xiaohongshu-mcp
python-sdk: The MCP Python SDK provides a robust implementation of the Model Context Protocol, enabling developers to build secure, standardized servers that expose data and functionality to LLM applications. It also includes a client library for connecting to any MCP server, supporting various standard transports like stdio, Streamable HTTP, and SSE.; xiaohongshu-mcp: This project provides a Model Context Protocol (MCP) service for automating content management and operations on Xiaohongshu. It enables users to programmatically interact with Xiaohongshu, including publishing various content types, searching, and extracting data, all seamlessly integratable with various AI clients.
TL;DR
- You want the official, MIT-licensed reference Python SDK maintained directly by the Model Context Protocol project.
- You need full low-level control over MCP primitives (resources, prompts, tools, sampling) and standard transports (stdio, SSE, Streamable HTTP).
- You want higher-level conveniences like automatic client composition or less decorator boilerplate; FastMCP wraps the protocol with extra ergonomics.
- You are exposing an existing GraphQL or FastAPI backend where a gateway or adapter (Grafbase or FastAPI-MCP) requires no manual tool code.
Automated content publishing and scheduling for Xiaohongshu marketing campaigns.
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