Agent skill

Xiaohongshu MCP

使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。

Apache-2.0Auto-check passedAgent Workflows

Install Xiaohongshu MCP

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/collectors/xiaohongshu-mcp .claude/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .claude/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/collectors/xiaohongshu-mcp .agents/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .agents/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/collectors/xiaohongshu-mcp .cursor/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .cursor/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/tsingyuai/growth-lab.git --path collectors/xiaohongshu-mcp

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/collectors/xiaohongshu-mcp .gemini/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .gemini/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .github/skills && cp -r skills-src/collectors/xiaohongshu-mcp .github/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .github/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install tsingyuai/growth-lab xiaohongshu-mcp --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/collectors/xiaohongshu-mcp .opencode/skills/xiaohongshu-mcp && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "xiaohongshu-mcp" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/xiaohongshu-mcp into .opencode/skills/xiaohongshu-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xiaohongshu-mcp", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: xiaohongshu-mcp
GitHub stars: 2k
Token cost: ~822 tokens
SKILL.md length: 362 words
Files: 12 (incl. scripts, references)
Skills in repo: 22
Repo updated: Sep 28, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 6 steps: Persist the 20-30 item search response… → Download all covers from the first batch… → Score promotional layout quality before… → …
Tasks that involve MCP servers
SKILL.md covers First-run conversation, Runtime, Visual selection and Data boundary, plus 1 more section
Runs Python and PowerShell scripts from its folder; calls python

What it does

Xiaohongshu MCP is an agent skill from tsingyuai/growth-lab. 使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/cover-screening.md` and `references/runtime.md`).

It sits in Agent Workflows, covering MCP servers. It works with Xiaohongshu and Model Context Protocol. The repository describes itself as: An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the next round of… The licence is Apache-2.0.

When your agent uses it

Tasks that involve MCP servers

Example prompts

“/xiaohongshu-mcp”

Requirements

Python 3
PowerShell

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Persist the 20-30 item search response immediately as one batch. Do not wait for page-wide stability after the response is complete.
Download all covers from the first batch and inspect every contact sheet.
Score promotional layout quality before engagement. Fetch full details only for 3-8 passing candidates.
Show every passing candidate with its actual representative image, title, score, and risk. If inline image rendering is unavailable or…
If the user rejects all candidates, record the reasons and run a new product/workflow-oriented query. Do not force the best item from a…
Select exactly one external visual learning sample. Write and validate visual-reference-selection.json

What it can do on your machine

Read from SKILL.md and the folder at commit 2d0807c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 8 files in scripts/ (Python and PowerShell), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Xiaohongshu MCP loads about 822 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 362 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~37
When it runs · the whole SKILL.md, loaded when a task matches: ~822
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from tsingyuai/growth-lab at commit 2d0807c, republished under its Apache-2.0 licence (© tsingyuai). 362 words, ~822 tokens.

Download SKILL.mdSave it as .claude/skills/xiaohongshu-mcp/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.

name: xiaohongshu-mcp
description: 使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。

Xiaohongshu browser-first collection

Read runtime.md before startup and cover-screening.md before visual selection.

First-run conversation

Before collection, tell the user:

the recommended first-run batch is 25 notes;
the count is adjustable, but 25 is recommended;
collection is read-only and saves sanitized research evidence and requested images locally;
login does not authorize likes, saves, comments, follows, uploads, or publication.

If required settings are missing, stop and invoke onboard-growth-lab. Give the user the exact configuration file and fields from CONFIGURATION.md; never ask them to paste a key, cookie, or signed URL into the conversation.

Runtime

powershell

powershell -ExecutionPolicy Bypass -File collectors/xiaohongshu-mcp/scripts/start_xiaohongshu_service.ps1
python collectors/xiaohongshu-mcp/scripts/collect_xiaohongshu.py "<topic>" `
  --limit 25 --cover-pool 25 `
  --out "memory/xhs-replicate/<run>/xiaohongshu-search.json"

The service must be local HTTP only. If it is not logged in, explain the boundary, ask before opening the visible login window, run login_xiaohongshu.ps1, verify once, and resume. Stop on timeout, risk-control, login loss, or repeated empty responses; do not loop around platform controls.

Visual selection

Persist the 20-30 item search response immediately as one batch. Do not wait for page-wide stability after the response is complete.
Download all covers from the first batch and inspect every contact sheet.
Score promotional layout quality before engagement. Fetch full details only for 3-8 passing candidates.
Show every passing candidate with its actual representative image, title, score, and risk. If inline image rendering is unavailable or cannot be confirmed, include the clean public note URL in the same response.
If the user rejects all candidates, record the reasons and run a new product/workflow-oriented query. Do not force the best item from a weak batch.
Select exactly one external visual learning sample. Write and validate visual-reference-selection.json:

Show full SKILL.md (101 more words)Show less

powershell

python collectors/xiaohongshu-mcp/scripts/validate_visual_reference_selection.py `
  --selection <run>/visual-reference-selection.json `
  --candidates <run>/visual-candidates.json

Use the selected reference for analysis only. Do not copy its wording, logo, proprietary UI, exact composition, or visual identity.

Data boundary

Write search evidence, candidate images, selection, and detail summaries only under the calling Model's ignored memory/xhs-replicate/ run directory. Persist clean note IDs and public URLs, never xsec tokens, cookies, signed media URLs, avatars, or raw response fields containing credentials.

Handoff

Return the query, batch size, collection time, access limits, candidates, visible engagement, selection status, clean public URLs, missing evidence, and one recommended next action. The user must be able to see the candidate image or public source before choosing.

Files

SKILL.md and 11 other files (scripts, references) in collectors/xiaohongshu-mcp of tsingyuai/growth-lab.

SKILL.md
agents/openai.yaml
references/cover-screening.md
references/runtime.md
scripts/collect_selected_xiaohongshu_note.py
scripts/collect_xiaohongshu.py
scripts/login_xiaohongshu.ps1
scripts/start_xiaohongshu_service.ps1
scripts/test_collect_xiaohongshu.py
scripts/test_minimal_continuous_flow.py
scripts/test_validate_visual_reference_selection.py
scripts/validate_visual_reference_selection.py

Open the folder on GitHubat commit 2d0807c

Compare with similar skills

Xiaohongshu MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Xiaohongshu MCP compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Xiaohongshu MCP this skilltsingyuai/growth-lab	2k	—	~822	Automated safety check: Pass	Apache-2.0	12 days ago
Sandbasesandbaseai/cli	188	—	~3.1k	Automated safety check: Pass	Apache-2.0	today
Setup Xhs MCPautoclaw-cc/xiaohongshu-mcp-skills	272	—	~678	Automated safety check: Pass	MIT	7 mo ago
Linkdigest Social Link Readersickn33/agentic-awesome-skills	47k	—	~3.4k	Automated safety check: Pass	MIT	2 days ago
Xiaohongshu MCPLeoYeAI/openclaw-master-skills	2.2k	—	~957	Automated safety check: Pass	MIT	2 mo ago
Xiaohongshu Content Researchjumodada/Drissionpage-MCP-Server	487	—	~768	Automated safety check: Pass	Custom licence	27 days ago

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More from tsingyuai/growth-lab

All 22 skills in this repo

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Media Crawler
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Wechat Article Compose
tsingyuai/growth-lab
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Works with

Questions about Xiaohongshu MCP

What does Xiaohongshu MCP do?

使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。. Xiaohongshu MCP is an agent skill from tsingyuai/growth-lab.

When should I use Xiaohongshu MCP?

Xiaohongshu MCP fits situations like: tasks that involve MCP servers.

How do I install Xiaohongshu MCP in Claude Code?

Run `npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a claude-code`. Or copy the skill folder (collectors/xiaohongshu-mcp in tsingyuai/growth-lab) into .claude/skills/xiaohongshu-mcp in your project. Claude Code loads it when a task matches its description.

How do I install Xiaohongshu MCP in Codex?

Run `npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a codex`. Or copy the skill folder (collectors/xiaohongshu-mcp in tsingyuai/growth-lab) into .agents/skills/xiaohongshu-mcp in your project. Codex loads it when a task matches its description.

Can I use Xiaohongshu MCP in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tsingyuai/growth-lab --skill xiaohongshu-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaohongshu-mcp, .gemini/skills/xiaohongshu-mcp, .github/skills/xiaohongshu-mcp and .opencode/skills/xiaohongshu-mcp in your project.

What does Xiaohongshu MCP need to run?

Going by SKILL.md and its folder, Xiaohongshu MCP needs Python and PowerShell for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; PowerShell.

Does Xiaohongshu MCP access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Xiaohongshu MCP safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Xiaohongshu MCP use?

Xiaohongshu MCP is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Xiaohongshu MCP use?

About 822 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Xiaohongshu MCP?

Skills that share tags, products or a category with Xiaohongshu MCP: Sandbase (sandbaseai/cli, 188 stars), Setup Xhs MCP (autoclaw-cc/xiaohongshu-mcp-skills, 272 stars), Linkdigest Social Link Reader (sickn33/agentic-awesome-skills, 47k stars) and Xiaohongshu MCP (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaohongshu MCP?

tsingyuai (a GitHub organization) maintains it in tsingyuai/growth-lab, which has 2,000 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 28, 2026.

Source: tsingyuai/growth-lab on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Xiaohongshu MCP

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Xiaohongshu browser-first collection

First-run conversation

Runtime

Visual selection

Data boundary

Handoff

Files

Compare with similar skills

Similar skills

More from tsingyuai/growth-lab

Related

Questions about Xiaohongshu MCP