Web search and extraction · MCP server
WebScraping.AI: MCP server, setup and security
WebScraping.AI is an MCP server published on GitHub that lets an AI agent extract and scrape web data through the WebScraping.ai service. Its repository has 45 stars and its last commit is from October 24, 2026, but it declares no licence.
| Adoption (stars) | 17/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 20/30 |
What WebScraping.AI does
According to its repository: “Web data extraction and scraping via WebScraping.ai.”
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. WebScraping.AI is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #68 by stars.
Installing and connecting WebScraping.AI
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx)
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: TypeScript.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
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.
Points found for WebScraping.AI:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
- No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.
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 April 15, 2025, the webscraping-ai/webscraping-ai-mcp-server repository has 45 stars and 15 forks, with 1 open issues. It has more stars than 50% of the servers in the directory. It received changes this month. Version published in the registry: 1.0.7 (July 24, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
WebScraping.AI is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
Limitations
- Requires an API key or token
- No licence declared
Avoid if…
- Company use without the author's agreement
- You do not want to give credentials to an agent
Alternatives
- Exa MCP server5.2K ★
- Brave search MCP server1.5K ★
- Arxiv MCP server3.2K ★
- JobSpy4.6K ★
- SearXNG Search1.3K ★
- Tavily MCP2.5K ★
Learn more
Frequently asked questions
How do I install WebScraping.AI?
WebScraping.AI is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of webscraping-ai/webscraping-ai-mcp-server.
Is WebScraping.AI free?
The code is public but has no declared licence: it is not formally free to reuse. It needs an API key: the service it connects to may be paid.
Is WebScraping.AI safe?
Points to watch: secrets and no licence. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to WebScraping.AI?
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.
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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