SkillAgentSearch skills...

crawlemoon

Advanced AI-native web crawling platform for the agentic era. Exposes 55 production-grade Model Context Protocol (MCP) tools for deep analysis, automated REST/GraphQL discovery, browser session recording, anti-detection stealth, and smart extraction using any LLM.

Install / Use

claude mcp add razavioo -- npx -y github:razavioo/crawlemoon

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Cursor
OpenAI Codex

Our assessment of crawlemoon

crawlemoon scores 81/100 on our quality scale, 1582nd of 2,166 Automation skills we index.

Its MCP Server is 8.4 KB long, well organised into 14 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 27 days ago, so crawlemoon is actively maintained.
  • Our last check on 2026-09-20 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

crawlemoon compared with similar skills

All 4 of these similar skills score higher than crawlemoon; compare them before choosing.

SkillScoreStarsUpdatedFormat
crawlemoon (this skill)by razavioo81327d agoMCP Server
Agent-Reachby Panniantong10086.1k13d agoCLAUDE.md
headroomby headroomlabs-ai10074.1ktodayCLAUDE.md
rufloby ruvnet10073.5ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md

Frequently asked questions

How do I install crawlemoon?
Run claude mcp add razavioo -- npx -y github:razavioo/crawlemoon. The install tabs above show the steps for each supported agent.
Which AI agents does crawlemoon work with?
It is written for Claude Code, Claude Desktop, Cursor and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
Is crawlemoon safe to use?
It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is crawlemoon still maintained?
The repository was last updated 27 days ago, so crawlemoon is actively maintained.

Crawlemoon MCP Server

<p align="center"> <img src="https://raw.githubusercontent.com/razavioo/crawlemoon/main/assets/hero.png" alt="Crawlemoon MCP Server — free, AI-native web crawling for the agent era" width="100%"/> </p> <p align="left"> <img alt="python 3.10+ · pypi 1.1.0 · MIT · MCP-native · code style black" src="https://raw.githubusercontent.com/razavioo/crawlemoon/main/assets/badges.png" height="22"/> </p>

A free, open-source MCP server that gives any agent (Claude Code, Cursor, Windsurf, …) 55 production-grade tools for the full web-crawling stack: deep analysis, stealth, API discovery, session recording → runnable crawler, smart extraction. No proprietary API. No per-request fee.

<p align="center"> <img src="https://raw.githubusercontent.com/razavioo/crawlemoon/main/assets/features.png" alt="Crawlemoon capabilities — deep analysis, stealth, record→crawler, smart extraction" width="100%"/> </p>

Quick start

<p align="center"> <img src="https://raw.githubusercontent.com/razavioo/crawlemoon/main/assets/install.png" alt="Three install paths — uvx, pipx, pip" width="100%"/> </p>

The recommended path needs no install — uvx runs straight from PyPI:

{
  "mcpServers": {
    "crawlemoon": {
      "command": "uvx",
      "args": ["crawlemoon"]
    }
  }
}

Requires uv. Install once: curl -LsSf https://astral.sh/uv/install.sh | sh. Or use pipx run crawlemoon / pip install crawlemoon instead.

Where to put that JSON: Cursor → Settings → MCP. Claude Code → ~/.config/claude/mcp_settings.json. Windsurf → Settings → MCP Servers.


How it works

<p align="center"> <img src="https://raw.githubusercontent.com/razavioo/crawlemoon/main/assets/architecture.png" alt="Agent → Crawlemoon → Browser/HTTP/Proxy → target web" width="100%"/> </p>

Your agent talks to Crawlemoon over the Model Context Protocol. Crawlemoon owns a hardened browser pool, an HTTP stack with TLS fingerprinting, and a rotating proxy pool. While it fetches pages, it captures network traffic, reads scripts, and introspects schemas — so the agent gets clean structured data, not raw HTML.


What's in the box

A short list — see the source for the full set of 55 tools.

| Group | Tools | |---|---| | Deep analysis | deep_analyze, discover_apis, introspect_graphql, analyze_websocket, analyze_auth, detect_protection, detect_technology | | Stealth | stealth_request, configure_proxies, configure_rate_limit, add_proxy, test_proxy | | Record → crawler | record_session, stop_recording, export_recording, generate_crawler | | Extraction | smart_extract, extract_article, extract_tables, extract_links, extract_forms, extract_metadata, convert_to_markdown | | Page interaction | take_screenshot, fill_form, wait_and_extract, compare_pages, measure_performance, check_accessibility, get_dom_tree | | Sessions & cache | save_session, load_session, get_cookies, get_storage, clear_cache, get_cache_stats | | Advanced (opt-in) | execute_js, execute_cdp, deobfuscate_js, extract_from_js, solve_captcha |


Smart extraction — bring any LLM, including free ones

smart_extract works without any API key using pattern matching. Plug in any OpenAI-compatible endpoint for higher accuracy — including FREE tiers:

# OpenRouter (free models exist)
CRAWLEMOON_LLM_PROVIDER=openrouter
CRAWLEMOON_LLM_API_KEY=sk-or-v1-xxx
CRAWLEMOON_LLM_MODEL=meta-llama/llama-3.2-3b-instruct:free

# Groq (free, very fast)
CRAWLEMOON_LLM_PROVIDER=groq
CRAWLEMOON_LLM_API_KEY=gsk_xxx

# Local Ollama (no key needed)
CRAWLEMOON_LLM_PROVIDER=ollama
CRAWLEMOON_LLM_MODEL=llama3.2

Together, DeepSeek, Mistral, Fireworks, and standard OpenAI also work via CRAWLEMOON_LLM_BASE_URL.


Configuration

| Variable | Default | Notes | |---|---|---| | CRAWLEMOON_HEADLESS | true | Run browser without UI | | CRAWLEMOON_BROWSER | chromium | chromium / firefox / webkit | | CRAWLEMOON_POOL_SIZE | 5 | Max concurrent browsers | | CRAWLEMOON_NAV_TIMEOUT | 30.0 | Page-load timeout (s) | | CRAWLEMOON_API_KEY | unset | If set, every tool call must include matching _api_key | | CRAWLEMOON_ALLOW_DANGEROUS_JS | false | Required for execute_js / execute_cdp / deobfuscate_js | | CRAWLEMOON_JS_MAX_LENGTH | 50000 | Length cap for JS payloads | | CRAWLEMOON_JS_EXEC_TIMEOUT | 10.0 | Per-script timeout (s) | | CRAWLEMOON_PROXIES | unset | Comma/newline separated proxy entries | | CRAWLEMOON_PROXIES_FILE | unset | Local file with one proxy per line | | CRAWLEMOON_PROXY_SCHEME | http | Scheme for entries without one: http, https, socks4, socks5 | | CRAWLEMOON_PROXY_ROTATION | round_robin | round_robin, random, sticky, least_used | | CRAWLEMOON_PROXY_HEALTH_CHECK_INTERVAL | 300 | Proxy health-check interval (s) | | CRAWLEMOON_PROXY_FAIL_CLOSED | false | Raise on startup proxy config errors instead of continuing direct |


Proxy, V2ray & connection control

Crawlemoon uses one rotating proxy pool for browser contexts, stealth_request, and Xray/V2ray local exits. Credentials are stored separately from normalized URLs and are masked in stats/log-style responses.

Supported proxy entry formats:

http://user:pass@31.59.20.176:6754
socks5://user:pass@127.0.0.1:1080
31.59.20.176:6754:user:pass
31.59.20.176:6754

Start the MCP server with a proxy file:

{
  "mcpServers": {
    "crawlemoon": {
      "command": "uvx",
      "args": ["crawlemoon"],
      "env": {
        "CRAWLEMOON_PROXIES_FILE": "/secure/path/proxies.txt",
        "CRAWLEMOON_PROXY_SCHEME": "http",
        "CRAWLEMOON_PROXY_ROTATION": "sticky"
      }
    }
  }
}

Proxy files can use Webshare-style lines and comments:

# host:port:username:password
31.59.20.176:6754:uusmdewb:en3w097syrxh
31.56.127.193:7684:uusmdewb:en3w097syrxh

Configure or replace proxies at runtime with the configure_proxies MCP tool:

{
  "proxies_text": "31.59.20.176:6754:user:pass\n31.56.127.193:7684:user:pass",
  "default_scheme": "http",
  "rotation_strategy": "sticky",
  "health_check_interval": 300,
  "replace_existing": true
}

Use add_proxy, remove_proxy, test_proxy, and get_proxy_stats for incremental control. get_proxy_stats returns masked proxy URLs, for example http://user:***@31.59.20.176:6754.

For V2ray/Xray, call configure_xray_subscription with either subscription_url or raw_links. Crawlemoon starts local SOCKS5 exits such as socks5://127.0.0.1:10801, registers them in the same proxy pool, and can rotate or benchmark nodes with rotate_xray_node and test_xray_nodes.

Keep proxy files out of git. They contain live credentials.


Security

execute_js, execute_cdp, and deobfuscate_js are disabled by default — they execute or operate on arbitrary code in a real browser. Enable on trusted networks with CRAWLEMOON_ALLOW_DANGEROUS_JS=true. Even then, payloads are length-capped, time-bounded, and a denylist rejects eval, new Function, dynamic import(), document.write, importScripts, and WebAssembly.{compile,instantiate}. Set CRAWLEMOON_API_KEY so MCP clients must present a matching _api_key.

These are mitigations, not a sandbox: do not expose this server to untrusted clients.


Develop

git clone https://github.com/razavioo/crawlemoon.git
cd crawlemoon
make dev-install      # editable install + dev/captcha/ocr extras + pre-commit
make test             # pytest
make lint             # ruff + mypy

Releases

This project uses Trusted Publishing (OIDC) via GitHub Actions to automate publishing releases directly to PyPI.

To release a new version:

  1. Bump the version number in pyproject.toml.
  2. Commit the change and create a git tag matching the version (e.g. v1.1.8):
    git add pyproject.toml
    git commit -m "chore: bump version to 1.1.8"
    git tag v1.1.8
    
  3. Push your branch and the tag to GitHub:
    git push origin main --tags
    

GitHub Actions will automatically run tests, build the package, and publish it securely to PyPI under the crawlemoon package space.

PRs welcome. Particularly interested in: distributed mode (Redis queue), result sinks (Postgres / S3), Prometheus metrics. See MIT License.

<p align="center"><sub>Made by <a href="https://emad.dev">emad.dev</a></sub></p>

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated27d ago
Forks0

Languages

Python

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low