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Web search and extraction · MCP server

MCP server webcrawl: MCP server, setup and security

MCP server webcrawl is an MCP server published on GitHub that lets an AI agent search and retrieve web crawl data from multiple crawling tools. Its repository has 46 stars and its last commit is from September 28, 2026, but it declares no licence.

Score
52/100
Adoption (stars) 17/40
Maintenance 30/30
Framework (licence, registry, official) 5/30
Actively maintainedNo licence

What MCP server webcrawl does

According to its repository: “Search and retrieve web crawler data from WARC, wget, Katana, SiteOne and InterroBot crawls.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP server webcrawl is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #67 by stars.

Topics declared by the repository: knowledgebase, warc, wget, archivebox, httrack, katana.

Installing and connecting MCP server webcrawl

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for MCP server webcrawl:

  • 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 March 26, 2025, the pragmar/mcp-server-webcrawl repository has 46 stars and 17 forks, with 1 open issues. It has more stars than 50% of the servers in the directory. It received changes this month.

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 : 1.9K1.9KMCP server webcrawlMCP server webcrawl : 4646
GitHub stars of the most followed servers in the category (log scale); MCP server webcrawl in orange. Checked October 25, 2026.

Verdict

MCP server webcrawl is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit

Limitations

  • No licence declared
  • Install from source

Avoid if…

  • Company use without the author's agreement

Frequently asked questions

How do I install MCP server webcrawl?

No package is declared in the MCP registry: clone the pragmar/mcp-server-webcrawl repository, follow its README, then declare the start command in your client's MCP configuration.

Is MCP server webcrawl free?

The code is public but has no declared licence: it is not formally free to reuse.

Is MCP server webcrawl safe?

Points to watch: no licence. Give it minimum rights and approve sensitive actions.

Is it an official server?

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

What are the alternatives to MCP server webcrawl?

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