io.github.Mingye-Lu/acrawl

Autonomous web crawler. 17 browser tools + goal-driven run_goal agent. Single binary, stealth.

6 GitHub

No known CVEs

No license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

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Browser

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "acrawl": {
      "args": [
        "mcp"
      ],
      "command": "acrawl"
    }
  }
}

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What io.github.Mingye-Lu/acrawl does

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Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

39/100across 5 weighted dimensions

How we score →

0255075100

−61

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

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Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Mingye-Lu/acrawl safe to use?: io.github.Mingye-Lu/acrawl has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Mingye-Lu/acrawl?: io.github.Mingye-Lu/acrawl supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.Mingye-Lu/acrawl?: io.github.Mingye-Lu/acrawl is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.Mingye-Lu/acrawl actively maintained?: io.github.Mingye-Lu/acrawl is actively maintained — last commit was 0 days ago. It has 6 GitHub stars.

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Community

Discussion

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Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Why acrawl?

Most browser agents stop at navigate and click. acrawl goes further: the agent can also inspect network requests, analyze console errors, measure page performance, audit accessibility, and intercept network calls — the full DevTools surface, available as first-class agent tools.

It ships as a single Rust binary. No Python runtime, no Node runtime, no Docker. Drop it into any server or CI pipeline and describe a goal; the agent figures out what to visit, what to click, what to inspect, and when it's done.

One binary, zero runtimes. cargo build --release produces a self-contained executable. No Python, no Node runtime — just Rust and a Chromium download for browser automation.

Acts and observes. The agent has the full DevTools surface as first-class tools: inspect network requests with timing, analyze and deduplicate console logs, stream WebSocket messages, measure page performance (TTFB, resource breakdown), audit cookies and browser storage, measure JS/CSS coverage, run axe-core WCAG accessibility audits, and intercept or mock network calls. No other agent framework exposes this.

Deterministic where you can, AI where you must. Define loops, conditionals, and parallel branches as JSON scripts — executed without any LLM calls. Fall back to the agent when pages behave unexpectedly. Best of both worlds.

No code required. Describe the goal in plain English. The agent plans, navigates, and extracts.

Smart fetching. Static pages are served over HTTP (fast). When JavaScript or interaction is needed, acrawl detects JS framework markers (__next_data__, __nuxt, __vue, ng-app, React roots), auth redirects, and short <noscript> bodies — then transparently escalates to a headless browser.

Sub-agent parallelism. Fork child agents onto separate browser tabs with independent state and step budgets. A URL-claiming registry prevents siblings from crawling the same page twice.

MCP client and server. Extend the agent with custom tools via Model Context Protocol servers. Or flip it: acrawl mcp exposes 38 browser and DevTools tools plus run_goal to Claude Code, Cursor, VS Code, Zed, and 13 other clients.

25 LLM providers. Anthropic, OpenAI, Google Gemini, DeepSeek, AWS Bedrock, Azure OpenAI, Vertex AI, GitHub Copilot, Groq, Mistral, xAI, Cohere, Alibaba DashScope, OpenRouter, and more. Or bring your own via any OpenAI-compatible endpoint.

How does it compare?

vs. AI web agents and scraping tools

	acrawl	browser-use	Stagehand	Skyvern	Firecrawl	Playwright MCP	Scrapy	Playwright scripts
No code needed	Yes	No	No	Partial	No	No	No	No
Single binary	Yes	No	No	No	No	No	No	No

acrawl

browser-use

Stagehand

Skyvern

Firecrawl

Playwright MCP

Scrapy

Playwright scripts

No code needed

Yes

Partial

Single binary

Yes

Frequently Asked Questions

Is io.github.Mingye-Lu/acrawl safe to use?

io.github.Mingye-Lu/acrawl has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Mingye-Lu/acrawl?

io.github.Mingye-Lu/acrawl supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.Mingye-Lu/acrawl?

io.github.Mingye-Lu/acrawl is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.Mingye-Lu/acrawl actively maintained?

io.github.Mingye-Lu/acrawl is actively maintained — last commit was 0 days ago. It has 6 GitHub stars.

Why acrawl?

One binary, zero runtimes. cargo build --release produces a self-contained executable. No Python, no Node runtime — just Rust and a Chromium download for browser automation.

No code required. Describe the goal in plain English. The agent plans, navigates, and extracts.

Sub-agent parallelism. Fork child agents onto separate browser tabs with independent state and step budgets. A URL-claiming registry prevents siblings from crawling the same page twice.

How does it compare?

vs. AI web agents and scraping tools

	acrawl	browser-use	Stagehand	Skyvern	Firecrawl	Playwright MCP	Scrapy	Playwright scripts
No code needed	Yes	No	No	Partial	No	No	No	No
Single binary	Yes	No	No	No	No	No	No	No

acrawl

browser-use

Stagehand

Skyvern

Firecrawl

Playwright MCP

Scrapy

Playwright scripts

No code needed

Yes

Partial

Single binary

Yes