FRENES

Web search and extraction · MCP server

CN Scraper MCP: MCP server, setup and security

CN Scraper MCP is an open-source MCP server that lets an AI agent search and extract Chinese platform data with locally stored cookies. Its repository has 70 stars and its last commit is from July 29, 2026 and it is licensed under MIT.

Actively maintained

What CN Scraper MCP does

According to its repository: “Search and extract data from Chinese platforms including Taobao, JD, Xiaohongshu, Zhihu, Weibo, Bilibili, Douban and Dianping, with local cookie storage.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. CN Scraper MCP is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #53 by stars.

Topics declared by the repository: ai-agent, bilibili, claude, cursor, jingdong, python.

Installing and connecting CN Scraper MCP

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to CN Scraper MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on July 13, 2026, the goesByhc/cn-scraper-mcp repository has 70 stars and 8 forks, with 2 open issues. It has more stars than 59% of the servers in the directory. Last change 3 months ago. Version published in the registry: 0.4.1 (July 21, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

WigoloWigolo : 5.5K5.5KExa MCP serverExa MCP server : 5.2K5.2KJobSpyJobSpy : 4.6K4.6KTolgeeTolgee : 4.1K4.1KArxiv MCP serverArxiv MCP server : 3.2K3.2KTrieveTrieve : 2.7K2.7KTavily MCPTavily MCP : 2.5K2.5KOpen webSearchOpen webSearch : 1.9K1.9KCN Scraper MCPCN Scraper MCP : 7070
GitHub stars of the most followed servers in the category (log scale); CN Scraper MCP in orange. Checked October 25, 2026.

Verdict

CN Scraper MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install CN Scraper MCP?

CN Scraper MCP is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of goesByhc/cn-scraper-mcp.

Is CN Scraper MCP free?

The code is published under the MIT licence and can be used free of charge.

Is CN Scraper MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by goesByhc on GitHub. Check who maintains it before giving it access.

What are the alternatives to CN Scraper MCP?

In the same category: Exa MCP server, Brave search MCP server, Arxiv MCP server, and JobSpy. Exa MCP server and Brave search MCP server score higher on our grid.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score