
fastCRW
io.github.usPublished by GitHub account usv1.0.0Updated Nov 2, 2026
Scrape, crawl, map & search the web. Open-source, self-hostable Rust crawler & search for AI agents.
The publisher's own server: Fastio
Overview
Remote web scraping and search service for AI agents: turn URLs into markdown or structured JSON, crawl sites, map URLs and run web searches.
- What you can do
- Scrape a single URL into markdown, HTML, links, screenshots or schema-based JSON
- Crawl a site within bounds and collect its pages
- Map a site to discover URLs without scraping every page
- Search the web and optionally scrape selected results
- Extract structured fields from one or many URLs
- When to use it
- Useful when an assistant needs live web content as clean text or structured data: reading documentation pages, gathering pages from a site, discovering URLs, or running web searches with optional scraping.
- Requirements
- Remote endpoint at fastcrw.com over streamable HTTP with OAuth sign-in required. The README also describes a local Rust binary and a managed API key (CRW_API_KEY) for cloud use, but the manifest declares no packages or environment variables.
Installation
In SourceWeft
- Open fastCRW in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.us%2Ffastcrw/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"fastcrw": {
"type": "http",
"url": "https://fastcrw.com/mcp"
}
}
}README
fastCRW
Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract.
Run it locally as a small Rust binary or use the managed API.
Get 1000 free credits → · Install · Docs
No credit card. Continue with GitHub.
[crates.io] [PyPI] [npm crw-mcp] [CI] [License] [GitHub Stars]
One-command install
Runs local and free, no account needed. To use the Cloud, paste your key into the same command and it installs the binary, connects the key, and registers the MCP server with the AI coding tools you already have:
Claude Code, Cursor, Codex, Gemini CLI, OpenCode and Windsurf are picked up
automatically when they are already set up; nothing else is touched, and your
key stays in ~/.config/crw/config.toml rather than being copied into each
tool. Add CRW_NO_AGENTS=1 to skip that step, or run crw setup on its own to
choose interactively.
1000 free credits, no credit card. Managed proxies, JS rendering and search, with nothing to run or keep up to date. Get my free key →
macOS and Linux, Intel and ARM. More install options →
What it does
Why fastCRW
On Firecrawl's own public 1,000-URL dataset, fastCRW recovered more truth than Crawl4AI and Firecrawl, matched the fastest median latency, and idled at ~14 MB RAM.
Methodology, full numbers, and how to reproduce it
On a different benchmark entirely, answer accuracy rather than scrape recall, fastCRW answers 90.0% of the 600 AA-Omniscience questions correctly. Every product listed on the Artificial Analysis Search Index sits below it.
The full 14-product comparison, the control run, and how to reproduce it
Choose how you use it
CLI
Python SDK
Using Cloud? Get an API key, then export it once:
Node.js
Local mode and more SDK examples → · REST API →
MCP for AI agents
Installs the CRW skill and MCP server in your detected AI tools. crw setup can
also do this step, so either path is enough.
Manual setup →
Choose where it runs
Capabilities and response shapes can differ by deployment:
/v1/capabilities · response shapes
Learn more
Contributing
The workspace requires Rust 1.85 or newer:
Contributors
crw is better because of these people. Thank you, all of you:
[us] [paoloantinori] [behramcelen] [rqi14] [santhreal] [AsheTheWings] [gjija] [adambenhassen] [atirna] [cdebled] [VIVAAN-DHAWAN] [alkaz-nodemaven] [mj520]
Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: [email protected].
Star History
[Star History Chart]Please respect website policies. Crawl and map follow robots.txt by default.
Source: README.md at commit 147c8d6
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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