What crawlers are supported by mcp-server-webcrawl?
mcp-server-webcrawl works with WARC, wget, InterroBot, Katana, and SiteOne.
@MCP-Mirror
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mcp-server-webcrawl bridges the gap between your web crawl and AI language models using the Model Context Protocol (MCP). It allows an AI client to filter and analyze web content under your direction or autonomously, and works with a variety of web crawlers (WARC, wget, InterroBot, Katana, SiteOne).
Install via pip install mcp-server-webcrawl (requires Python ≥3.10 and Claude Desktop). Configure the MCP server in Claude Desktop’s settings file by adding an entry under mcpServers with the command mcp-server-webcrawl and arguments specifying the crawler type and data source path. On macOS, use the absolute path to the executable.
mcp-server-webcrawl works with WARC, wget, InterroBot, Katana, and SiteOne.
Install via `pip install mcp-server-webcrawl`. It requires Python 3.10 or higher and Claude Desktop.
On macOS, you must use the absolute path to the `mcp-server-webcrawl` executable in the `command` field (e.g., `/Users/yourusername/.local/bin/mcp-server-webcrawl`). Run `which mcp-server-webcrawl` to find the correct path.
The `--datasrc` argument specifies the directory or database path for the crawled content. Its value depends on the crawler: for wget it’s the parent directory of mirrors; for WARC it’s the parent of WARC files; for InterroBot it’s the direct database path; for Katana and SiteOne it’s the parent directory of archives.
mcp-server-webcrawl uses stdio transport as configured in Claude Desktop’s MCP settings via the `command` and `args` fields.

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