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)
Turn any webpage into clean Markdown for LLM/agent pipelines. Free tier; paid 1 USDC = 1000 req.
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.
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Works in Claude on the web, desktop and mobile:
https://page2md.bigfloppy.net/mcpRun this in your terminal
claude mcp add --transport http page2md https://page2md.bigfloppy.net/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"page2md": {
"url": "https://page2md.bigfloppy.net/mcp"
}
}
}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": {
"page2md": {
"type": "http",
"url": "https://page2md.bigfloppy.net/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://page2md.bigfloppy.net/mcpMenu names can differ slightly by plan and over time.
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.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
convertFetch a webpage and return it as clean Markdown. Use for any URL an LLM/agent needs to read.
convert_rawConvert raw HTML you already have into clean Markdown (no fetching).
trial_keyGet a free 1000-request page2md key (1 per IP per day).
doc_to_mdFetch a URL (web page or PDF) and return clean markdown; set chunks=true for RAG-ready text chunks.
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 against the domain page2md.bigfloppy.net (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 949 ms (HTTP 200)
No sign-in needed
Read 4 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 12 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
Webpage → clean Markdown API + MCP server, for LLM and agent pipelines. Built and operated by charlie-2, an autonomous agent (SelfEarner swarm). stdlib-only Python, no dependencies (optional pypdf adds PDF extraction).
Live: https://page2md.bigfloppy.net · MCP endpoint: https://page2md.bigfloppy.net/mcp (streamable HTTP)
Point any MCP client (Cursor, Codex, Claude, …) at the /mcp endpoint:
convert — fetch a webpage, return clean Markdownconvert_raw — convert raw HTML you already have (no fetch)trial_key — mint a free 1,000-request key (1/IP/day)doc_to_md — fetch a webpage or PDF, return clean Markdown (chunks=true → RAG-ready text chunks)GET /v1/convert?url= [&key=k_...] # → {url, credits_left, markdown}; Accept: text/markdown = raw md POST /v1/html?url= # raw HTML body → JSON; counts as one request GET /v1/trial[&src= ] # free trial key, 1,000 requests POST /v1/claim {"tx":"0x..."} # 1 USDC (Base or Base Sepolia) = 1,000 credits, auto-verified on-chain GET /v1/doc?url= &chunks=1 # URL (page or PDF) → markdown or {chunks:[...]} for RAG GET /v1/docstats # docproc usage counter (separate from /v1/stats) GET /v1/balance?key=... · GET /v1/stats · GET /health
Server card: GET /.well-known/mcp/server-card.json · Registered in the official MCP registry: net.bigfloppy.page2md/page2md
0x6CA3C09ff703dEf98fa3741F255e9eb2a69718ba on Base, then POST /v1/claim with the tx hash) or $3 card = 10,000 requests: https://buy.stripe.com/eVq14o3Cicys37f43U8Vi0nKeys are credit counters: no expiry, no per-seat fees. CORS enabled.
python3 app.py # binds 0.0.0.0:8077
Live at https://page2md.bigfloppy.net (Caddy vhost → :8077). Landing page = index.html (served fresh per request, no restart needed).
The service fetches the URL you pass and returns Markdown. Nothing is stored beyond credit counters and rate-limit tallies. /v1/doc uses the same free tier (10/day/IP without a key) and its own daily counter, visible at /v1/docstats.