Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Web scraping + research toolkit for AI agents: scrape, crawl, monitor URLs with anti-bot bypass.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pyrecrawl": {
"command": "uvx",
"args": [
"pyrecrawl"
]
}
}
}Run this in your terminal
claude mcp add pyrecrawl -- uvx pyrecrawlPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pyrecrawl": {
"command": "uvx",
"args": [
"pyrecrawl"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"pyrecrawl": {
"type": "stdio",
"command": "uvx",
"args": [
"pyrecrawl"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account SanggonBoy, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.8.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
One command gives any AI agent the whole web. Scrape, extract, crawl, map, and search — self-hosted, no API keys, no rate limits, no subscription.
PyreCrawl speaks MCP (Model Context Protocol), the standard tool interface for Claude, Cursor, VS Code, Codex, OpenCode, Hermes, and any MCP-compatible agent.
A smart auto-fallback ladder always picks the cheapest method that succeeds:
fast HTTP
│ (403/503/Cloudflare challenge or empty body) ▼ stealth browser (real Chromium + Cloudflare solver) │ (still blocked, or the page needs full JS rendering) ▼ deep processing (LLM-ready markdown, citations, structured extraction)
| Tool | What it does |
|---|---|
scrape(url, prefer="auto") | Single URL → LLM-ready markdown |
extract(url, schema) | Scrape + structured extraction (JsonCss schema) |
map_site(root, include_pattern=None, limit=200) | Enumerate all internal URLs |
crawl(root, max_pages=5, prefer="auto", include_paths=None, exclude_paths=None, max_depth=0) | Multi-page crawl with path filters + true BFS depth |
document(url) | PDF/DOCX/PPTX → markdown (no browser, optional [docs] extras) |
search(query, limit=10) | Web search via DuckDuckGo HTML (no API key) |
search_papers(query, limit=8, source="arxiv", category=None) | Academic search via arXiv + Crossref (no API key) — feed pdf_url into document |
batch_scrape(urls[], ...) | Many URLs in ONE call — parallel, deduped, cache-aware |
deep_research(query, limit=5, scrape_top=3) | Search → evidence pack with [n] citations (no LLM synthesis — your agent does that) |
monitor(url, action, css_selector=None) | Change detection with persisted snapshots + unified diff |
session(session, action, ...) | Persistent browser session (cookies kept) — login walls, multi-step flows, screenshots |
cache(action) | Inspect/clear/enable/disable the HTTP response cache |
health() | Versions + import sanity check |
MCP Resources (read-only state without a tool call): pyrecrawl://cache/stats · pyrecrawl://sessions · pyrecrawl://monitors
MCP Prompts (ready-made playbooks): research(topic) · rag_ingest(site) · watch_page(url)
| Variable | Default | Effect |
|---|---|---|
PYRECRAWL_CACHE | off | 1 = in-memory LRU (128 pages), or a directory path (reserved for disk mode) |
PYRECRAWL_CACHE_TTL | 900 | Cache entry lifetime in seconds |
PYRECRAWL_MONITOR_DIR | ~/.pyrecrawl/monitors | Where monitor snapshots persist |
PYRECRAWL_NO_TELEMETRY | off | 1 = disable the anonymous startup ping (also honors DO_NOT_TRACK=1) |
prefer options: "auto" (default ladder) · "fast" (HTTP only) · "stealth" (CF bypass) · "llm" (deep processing).
UV is a fast Python package manager that handles Python itself — no need to install Python separately. Get it once:
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Then run PyreCrawl directly — no venv, no pip install, no Python download:
uvx pyrecrawl@latest
uv tool install pyrecrawl
pipx install pyrecrawl
pip install pyrecrawl
pyrecrawl setup
This installs Chromium + stealth browser engines (~2 min, one-time).
# Auto-detect installed agents and write their MCP configs
pyrecrawl install
pyrecrawl install claude-desktop cursor
pyrecrawl install --dry-run
Supported agents: claude-desktop, claude-code, cursor, vscode, codex, opencode, hermes.
After installing + registering, restart your agent (or start a new session). Then ask:
*"Scrape https://example.com and summarize it."*
Available tools:
| Tool | What it does |
|---|---|
scrape | Fetch a single URL → markdown (auto-escalates past Cloudflare) |
extract | Scrape + structured extraction via CSS schema → JSON |
map_site | Enumerate all internal URLs from a root |
crawl | Multi-page crawl: discover + scrape in bulk |
batch_scrape | Fetch many URLs in one parallel call |
search | Web search via DuckDuckGo with anti-bot bypass |
search_papers | Academic paper search (arXiv / Crossref) |
deep_research | Search + scrape + citations in one call — primary research tool |
document | Extract text from PDF/DOCX/PPTX URLs |
monitor | Track a URL for content changes over time |
session | Persistent browser session for login walls |
cache | Inspect or clear the response cache |
health | Verify engine availability + version |
Plus 3 guided prompts: research, rag_ingest, watch_page.
Ask your agent naturally — no special syntax needed:
| You say | Agent uses |
|---|---|
| *"Scrape https://example.com and summarize it"* | scrape → returns markdown → agent summarizes |
| *"Research Rust memory safety vulnerabilities"* | deep_research → search + scrape + citations |
| *"Deep research on AI regulation worldwide"* | deep_research(iterations=3) → multi-pass with refined queries |
| *"Extract all product names and prices from this page"* | extract → CSS schema → structured JSON |
| *"Crawl https://docs.example.com and give me an overview"* | crawl → multi-page → summary |
| *"Monitor this page for price changes"* | monitor → baseline snapshot → periodic diff |
| *"Find papers about transformer attention"* | search_papers → arXiv results |
| *"What's the current cache hit rate?"* | cache → stats |
PyreCrawl tools give your agent hands (scrape, crawl, search). But the agent still needs a brain — instructions on *when* to use which tool, *how* to chain research passes, and *what* anti-hallucination rules to follow.
That's what [PyreCrawl Skills](https://github.com/SanggonBoy/pyrecrawl-skills) provides.
| MCP Tools (this repo) | Skills (pyrecrawl-skills) | |
|---|---|---|
| Role | Execute web operations | Tell the agent how to use them |
| Analogy | Hands | Brain |
| Example | deep_research(query, iterations=3) | "Run 3 passes, check gaps after each, cite everything" |
| Required? | Yes (the engine) | Optional (but recommended for research quality) |
Quick setup:
# 1. Install the tools (you already have this)
uvx pyrecrawl@latest
git clone https://github.com/SanggonBoy/pyrecrawl-skills.git /tmp/pyrecrawl-skills cp /tmp/pyrecrawl-skills/pyrecrawl-research/SKILL.md ./CLAUDE.md # or .cursorrules / AGENTS.md
Without skills: Your agent has powerful tools but improvises usage.
With skills: Your agent follows a proven research protocol with anti-hallucination guardrails.
pyrecrawl install doesn't match your setup)Config file
~/.config/Claude/claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json%AppData%\Claude\claude_desktop_config.json{
"mcpServers": { "pyrecrawl": { "command": "uvx", "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"] } } }
Config file: project-scoped .mcp.json
{
"mcpServers": { "pyrecrawl": { "command": "uvx", "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"] } } }
Config file: ~/.cursor/mcp.json
{
"mcpServers": { "pyrecrawl": { "command": "uvx", "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"] } } }
Config file: .vscode/mcp.json (project-scoped)
{
"servers": { "pyrecrawl": { "command": "uvx", "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"], "type": "stdio" } } }
Config file: ~/.codex/config.toml
[mcp_servers.pyrecrawl]
command = "uvx" args = ["--from", "pyrecrawl", "pyrecrawl", "serve"]
Config file: ~/.config/opencode/opencode.json
{
"mcp": { "pyrecrawl": { "type": "local", "command": ["uvx", "--from", "pyrecrawl", "pyrecrawl", "serve"], "enabled": true } } }
Config file
~/.hermes/config.yaml%LocalAppData%\hermes\config.yamlmcp_servers:
pyrecrawl: command: uvx args:
Windows note:
uvxmust be on PATH. If not, use the full path touvx.exe(e.g.C:\Users\ \AppData\Local\hermes\bin\uvx.exe).
PyreCrawl runs each request through three tiers, stopping at the first one that returns a complete, LLM-ready result:
| Concern | Fast tier | Stealth tier | Deep tier |
|---|---|---|---|
| Static HTML page | ✅ ~200ms | — | — |
| Cloudflare-protected | ❌ | ✅ Turnstile solver | — |
| JS-heavy SPA | ❌ | ✅ real Chromium | — |
Live DOM data (input .value, JS state) | ❌ | ✅ js param | — |
| LLM-ready markdown + citations | — | — | ✅ BM25, fit-markdown |
| Structured extraction (CSS schema) | — | — | ✅ |
| Deep crawl (BFS/DFS/BestFirst) | — | — | ✅ adaptive |
The agent never has to pick. prefer="auto" does it every call.
js and wait_forSome sites keep the data you want in a DOM *property* (e.g. an 's .value) that JS writes after an XHR — it never appears in the serialized HTML. The scrape tool accepts two stealth-tier params for exactly this:
{
"url": "https://temp-mail.org/id", "prefer": "stealth", "wait_for": "document.getElementById('mail').value.includes('@')", "js": "document.getElementById('mail').value" }
wait_for — a JS predicate expression polled until truthy (bounded by timeout). Use it instead of guessing a sleep for anything that arrives asynchronously.js — a JS expression evaluated once the page settles; the value comes back in meta.js_result. Errors are captured in meta.js_error (the page result is still returned, never a crash).| Firecrawl | PyreCrawl | |
|---|---|---|
| Cost | Free 1k/mo, then $16–333/mo | Free, self-hosted |
| Local LLM support | ❌ | ✅ Ollama / any LLM |
| Cloudf
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