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Xiaohongshu MCP

An open-source Go MCP server that connects AI assistants to Xiaohongshu data and documented account operations.

Independent OpenViST project profile, based on linked sources.

Xiaohongshu MCP — OpenViST project profile in MCP & Tooling.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI assistant needs a self-hosted MCP connection to Xiaohongshu for documented data retrieval, publishing, or engagement actions.

Who it is for

  • Developers integrating Xiaohongshu with AI assistants
  • Technical users operating self-hosted MCP services
  • Teams building Xiaohongshu research or content workflows

Documented uses

  • Search Xiaohongshu content by keyword
  • Retrieve recommendations, post details, comments, and user profiles
  • Publish image or video content
  • Comment, reply, like, unlike, collect, or uncollect documented posts
Before you choose

Requirements & limits

The repository is public and identified as open source under the Apache-2.0 license. The documented account actions require Xiaohongshu login.

  • Login is required before the documented account operations can be used.
  • Post details and several engagement actions require identifiers such as feed_id or post ID together with xsec_token.
  • Image publishing accepts remote URLs or local absolute paths, while video publishing requires a local absolute file path.
  • The documented video workflow includes format processing and recommends files no larger than 1GB.
  • The project is implemented in Go and is intended for Docker or self-hosted server environments.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the documented login and content workflow

Prepare the MCP connection and gather the identifiers needed for Xiaohongshu data and engagement actions.

Before you start

  • A deployed Xiaohongshu MCP server
  • A Xiaohongshu account
  • An AI assistant or MCP client
  • A Xiaohongshu post or search/feed result when an operation requires identifiers

Steps

  1. Deploy the Xiaohongshu MCP server using the documented Docker or self-hosted approach.

  2. Log in to Xiaohongshu and check the login status.

  3. Use search or the recommendation feed to obtain relevant post information.

  4. For post details or engagement actions, provide the documented post or feed identifier together with xsec_token.

  5. For replies, provide a comment ID or user ID and the reply content.

Expected outcome

The assistant can access the documented Xiaohongshu data or perform the corresponding supported interaction after the required login and identifiers are available.

Guide limitations

  • Most documented account operations require login.
  • Post and engagement operations require identifiers such as feed_id, post ID, xsec_token, or comment information.
  • Video publishing requires a local absolute video path and may take time for processing.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
xpzouying/xiaohongshu-mcp · Official homepage title · retained in its source language