How do you install xiaohongshu-mcp?

Use the Docker image xpzouying/xiaohongshu-mcp:latest or run the Docker Compose example from the Docker Hub page.

What data should be persisted?

The Docker Hub instructions mount ./data for cache and cookies and ./images for image output.

Is this an official Xiaohongshu server?

No. The GitHub repository identifies it as a community MCP project maintained by xpzouying.

xiaohongshu-mcp

Name: xiaohongshu-mcp
Author: xpzouying

by xpzouying

communitystdiodocker

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13.3kstars|2.0kforks

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Works withClaude DesktopCursorVS CodeWindsurf

About

Community MCP server for Xiaohongshu content workflows.

Features

Docker Compose setup for a local Xiaohongshu MCP service
Persistent data, cache, login cookies, and generated images through mounted volumes
Browser automation using Google Chrome through ROD_BROWSER_BIN
Port 18060 service mapping for local integrations

Use Cases

Content operator

Use an MCP-compatible client to manage Xiaohongshu content workflows from a local Docker service.

AI automation builder

Prototype Little Red Book research or publishing automations with persisted browser login state.

What This Server Can Do

MCP servers expose three types of capabilities to AI clients. Here's what xiaohongshu-mcp supports.

Tools

Supported10 tools

Functions your AI client can call to perform actions — like querying a database, creating a file, or calling an API.

How to use: Tools run automatically when your AI client decides they're needed. Ask your AI assistant to perform a task, and it will invoke the right tool.

Resources

Not available

This server does not expose read-only data resources.

Prompts

Not available

This server does not provide pre-built prompt templates.

For the full list of available tools, resources, and prompts, check the README on GitHub.

Available Tools (1)

xiaohongshu_workflow

Runs Xiaohongshu-related automation through the local MCP service. Exact tool names should be checked against the running server version.

Frequently Asked Questions

OpenAIai lab

Creating safe AGI that benefits all of humanity

245 Tools54 MCP Servers10 ModelsFounded 2015San Francisco, CA

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245 Tools·10 Models·54 MCP Servers·5.0avg

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AI Models by OpenAI

Large language models from the same organization.

Model	Context Window	Price (In / Out per M)	Capabilities
GPT-5.6 TerraCurrent	1.1M	$2.50 / $15.00	textvisionreasoningcoding+5
GPT-5.6 LunaCurrent	1.1M	$1.00 / $6.00	textvisionreasoningcoding+5
GPT-5.6 SolCurrent	1.1M	$5.00 / $30.00	textvisionreasoningcoding+5
GPT-5.5 ProCurrent	1.1M	$30.00 / $180.00	textvisioncodetool use+2
GPT-5.5Current	1.1M	$5.00 / $30.00	textvisioncodetool use+3
GPT-5.4 MiniCurrent	400K	$0.75 / $4.50	textvisioncode