webclaw▌
by 0xMassi
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API
A high-performance web scraper optimized for AI agents that extracts clean, structured content from URLs with 67% fewer tokens than raw HTML and sub-millisecond extraction speed.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / General purpose MCP workflows
capabilities
- / scrape
- / crawl
- / map
- / batch
- / extract
- / summarize
what it does
A high-performance web scraper optimized for AI agents that extracts clean, structured content from URLs with 67% fewer tokens than raw HTML and sub-millisecond extraction speed.
about
webclaw is a community-built MCP server published by 0xMassi that provides AI assistants with tools and capabilities via the Model Context Protocol. Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API It is categorized under productivity. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install webclaw in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
AGPL-3.0
webclaw is released under the AGPL-3.0 license.
readme
The fastest web scraper for AI agents.
67% fewer tokens. Sub-millisecond extraction. Zero browser overhead.
Claude Code's built-in web_fetch → 403 Forbidden. webclaw → clean markdown.
FAQ
- What is the webclaw MCP server?
- webclaw is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for webclaw?
- This profile displays 45 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★45 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
webclaw is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Amina Iyer· Dec 20, 2024
webclaw is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Zara Jain· Dec 16, 2024
Strong directory entry: webclaw surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Evelyn Brown· Dec 12, 2024
We wired webclaw into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Min Haddad· Dec 8, 2024
I recommend webclaw for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· Nov 11, 2024
Strong directory entry: webclaw surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Meera Bhatia· Nov 11, 2024
We wired webclaw into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Zaid Okafor· Nov 7, 2024
webclaw is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Jin White· Nov 3, 2024
webclaw is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Zaid Sanchez· Oct 26, 2024
webclaw reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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