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)
Call websites as APIs: a shared catalog of operations learned from each site's own requests.
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.
API_ANYTHING_HOME, API_ANYTHING_BROWSERYou 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": {
"api-anything": {
"command": "npx",
"args": [
"-y",
"api-anything",
"mcp"
],
"env": {
"API_ANYTHING_HOME": "your-value",
"API_ANYTHING_BROWSER": "your-value"
}
}
}
}Run this in your terminal
claude mcp add api-anything --env API_ANYTHING_HOME=your-value --env API_ANYTHING_BROWSER=your-value -- npx -y api-anything mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"api-anything": {
"command": "npx",
"args": [
"-y",
"api-anything",
"mcp"
],
"env": {
"API_ANYTHING_HOME": "your-value",
"API_ANYTHING_BROWSER": "your-value"
}
}
}
}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": {
"api-anything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"api-anything",
"mcp"
],
"env": {
"API_ANYTHING_HOME": "your-value",
"API_ANYTHING_BROWSER": "your-value"
}
}
}
}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.
API_ANYTHING_HOME envAPI_ANYTHING_BROWSER envThese 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 8, 2026
The registry name was verified with the GitHub account goodnight000, 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 (0.4.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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:↓ Downloads per weeki★ 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.
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.
When an agent needs a website that has no API, it learns one. Every other agent gets it for free.
Learned from the site's own requests, called over plain HTTP, verified and repaired by the agents that use it.
Quick start · Example · The race · How it works · Use it anywhere · Catalog · Safety · Docs
Goodreads stopped giving out API keys in 2020. Google Flights never had a public API. An agent that needs either one drives a browser: it clicks, waits, reads the screen, and pays for every step in time and tokens. API Anything learns the request the site's own page sends, once, and then calls it over plain HTTP. It shares what it learned, with every cookie and token stripped out, so the next agent gets JSON from one request.
npx -y api-anything setup
Setup lists the agents it finds (Claude Code, Codex, Cursor, Claude Desktop, Gemini CLI, VS Code) and asks which to connect the MCP server and the skill to; --agents names them instead, and the always-on Hermes gateway is added only by name. Then it asks whether to help build the shared catalog. setup --local-only keeps everything on this machine. Node 22.13 or newer; no account, no API key. Or tell your coding agent: *Set up API Anything for me: https://github.com/goodnight000/api-anything/blob/main/INSTALL.md*. What setup changes, and every client
Restart the agent and ask it something like *"What does Goodreads rate Piranesi?"*, or call an operation yourself:
npx -y api-anything call hacker-news search query=sqlite
{"ok":true,"class":"ok","tier":1,"data":[
{"title":"Hosting SQLite databases on GitHub Pages or any static file hoster", ...}, ...], "ms":185}
tier: 1 means one plain HTTP request, with no browser and no account. A failure says what happened (class), why (reason) and what to do next (next).
You shipped something. Is anyone talking about it? Finding out means five search pages, or five different APIs with their own keys, OAuth apps and client libraries. examples/mentions.mjs asks Hacker News, Reddit, YouTube, GitHub and Mastodon at once, from an empty home, with no account:
The core of it is six reads in parallel, each capped at plain HTTP:
import { call } from "api-anything";
const sources = [ ["hacker-news", "searchByDate", { query: project }], ["hacker-news", "searchByDate", { query: project, type: "comment" }], ["reddit", "search", { query: project }], ["youtube", "search", { q: project, filter: uploaded }], ["github", "searchRepos", { q: ${project} created:>${sinceDay} }], ["mastodon", "tagTimeline", { tag: project }], ]; const results = await Promise.all(sources.map(([site, op, args]) => call(site, op, args, { maxTier: 1 })));
Run it from a checkout after npm ci: node examples/mentions.mjs , with --days 30 for a wider window or --json for every link, for a script or a cron job.
On 2026-11-06, five runs from empty homes took 1.8 to 2.0 s each, Node's start included. Every run found the same 65 mentions. YouTube, GitHub, Mastodon and both Hacker News searches answered over plain HTTP. Reddit served a JavaScript challenge every time, and the script reported it as blocked and kept the rest. Transcript and details
Same agent, same prompt, started together. Left: it drives headless Chrome. Right: it calls API Anything's Google Flights operation.
1.5 to 2× sooner · about half the tokens · the same cost or less · 20 of 20 answers correct
Claude Opus 5.5 in Claude Code, 2026-09-28. Shown at 3× speed with no cuts; the timers show real elapsed time. MP4 · how it was recorded
On 2026-10-31 the same comparison on two more sites gave medians of 22.3 s against 9.6 s (Netflix episodes) and 31.4 s against 18.1 s (IKEA store addresses), 20 of 20 answers correct. Each is one site, one model and a few runs. Method, raw numbers and limits
fetch. If the site blocks that, fetch from inside a browser page; as a last resort for a read, run the page and read its answer.The whole idea in 49 seconds · replay, fallback and repair · design
find_sites, call_operation, learn_site and the other tools, which declare output schemas for clients that check results. Frameworks: Vercel AI SDK, LangChain.js, OpenAI Agents SDK.api-anything serve answers REST, publishes an OpenAPI document at /openapi.json, and serves MCP at /mcp. It listens on loopback only and needs a token. docs/SERVE.mdpip install "git+https://github.com/goodnight000/api-anything#subdirectory=python" gives a Client that starts the server for you, tools for agent frameworks, and typed code generated from an operation's schema. docs/PYTHON.mdimport { call } from "api-anything", or api-anything/host for an agent host that only calls installed operations. CLI and library at a glance--changes reports what was added, removed or changed since the last call (name a watcher with --watch), --max-age answers from a recent result instead of asking the site again, and a site's request budget keeps a cron job at human volume. examples/watch.mjscurl 'https://api-anything-registry.forth-site.workers.dev/v1/try/wikipedia/getSummary?title=SQLite'.Over MCP, an agent calls learn_site with a page URL and three values: two to learn from, one to check with. The operation is replayed with no cookies, then shared. From a shell:
api-anything learn 'https://lobste.rs/domains/{domain}' \
--args domain=github.com --args2 domain=arxiv.org --args3 domain=youtube.com
For pages that need clicks or typing, an agent with the skill proposes operations, waits for your approval, and builds them. One run built Goodreads search, book details, an author's books and reviews in 6.3 minutes for $1.19. Learning, step by step · the Goodreads run · 25 s recording
reCAPTCHA digitized millions of books from words people typed anyway. The catalog does the same for the web with calls agents make anyway. A new operation goes live after installs on 2 other networks call it successfully, and a live one is replaced only when 3 or more networks see it fail. When a site changes, the first agent to repair the operation repairs it for everyone. A site's own MCP server or OpenAPI document shows up in search beside what agents learned.
114 sites and 323 read operations ship with the package, from Hacker News, Reddit, YouTube and GitHub to Google Flights, Goodreads, Airbnb, Amazon and Steam. They cover selected features, not whole sites. Every bundled site · [how t
Only the beginning is shown; read the rest in the repo