crw

mcp
Guvenlik Denetimi
Gecti
Health Gecti
  • License — License: AGPL-3.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 1060 GitHub stars
Code Gecti
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool is a lightweight web scraper and crawler written in Rust. It acts as a Firecrawl alternative and provides a built-in MCP server to easily give AI agents like Claude or Cursor web scraping capabilities.

Security Assessment
By design, this application makes extensive external network requests to scrape and crawl public web pages on the user's behalf. The automated code scan did not find any dangerous patterns, hardcoded secrets, or requests for dangerous local permissions. It is distributed as a single binary, which inherently executes with the permissions of the user running it. The primary attack surface is the standard network activity associated with a web scraper. Overall risk: Low.

Quality Assessment
The project is actively maintained, with the most recent push happening just today. It uses the AGPL-3.0 license, which is a strong copyleft license, meaning any modifications or network use must share the source code. Community trust is currently minimal but positive, sitting at 21 GitHub stars. The installation is streamlined via standard package managers like npm, pip, and Cargo.

Verdict
Safe to use, but be mindful of the AGPL-3.0 copyleft licensing requirements if integrating into a larger commercial project.
SUMMARY

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary. Self-host or use managed cloud.

README.md

fastCRW

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

curl -fsSL https://fastcrw.com/install | sh

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:

curl -fsSL https://fastcrw.com/install | CRW_API_KEY=crw_live_... sh
crw search "rust tutorials"

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

Operation Outcome
Scrape One URL to markdown, HTML, links, screenshots, or schema JSON
Crawl Follow a bounded site crawl and collect its pages
Map Discover URLs without scraping every page
Search Search the web and optionally scrape selected results
Extract Produce structured fields from one or many URLs

See the full API →

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.

fastCRW compared with Crawl4AI and Firecrawl on truth-recall, unique recoveries, median latency, download size, and recall depth

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.

AA-Omniscience answer accuracy. fastCRW 90.0 percent, ahead of every product on the Artificial Analysis Search Index: Firecrawl 73, Exa 70, You.com 69, Parallel 68, Tavily 64, and 38 with no search at all.

The full 14-product comparison, the control run, and how to reproduce it

Choose how you use it

CLI

crw https://example.com            # scrape, works right after install
crw search "rust async runtime"    # search, after `crw setup`

Python SDK

Using Cloud? Get an API key, then export it once:

export CRW_API_KEY="crw_live_..."
pip install crw
from crw import CrwClient

client = CrwClient()
page = client.scrape("https://example.com", formats=["markdown"])

print(page["markdown"])
Node.js
npm install crw-sdk
import { CrwClient } from "crw-sdk";

const client = new CrwClient();

const page = await client.scrape("https://example.com", {
  formats: ["markdown"],
});

console.log(page.markdown);

Local mode and more SDK examples → ·
REST API →

MCP for AI agents

npx -y crw-mcp@latest install

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

Managed API Local / self-hosted
Best for Zero infrastructure and managed scaling Data control, private networks, or custom infrastructure
Start Create an API key, then crw setup Install and run crw <URL>
Operations Managed proxies, billing, and hosted capabilities You choose renderers, search, auth, proxies, and capacity

Capabilities and response shapes can differ by deployment:
/v1/capabilities · response shapes

Self-hosting guide →

Learn more

Contributing

The workspace requires Rust 1.85 or newer:

git clone https://github.com/us/crw
cd crw
make check-fast

Read the contributor guide →

Contributors

crw is better because of these people. Thank you, all of you:

us paoloantinori rqi14 santhreal AsheTheWings gjija adambenhassen atirna VIVAAN-DHAWAN mj520

Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT.
Embedding license: [email protected].

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