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)
MCP server for creating, running, inspecting, and scheduling Figranium browser automations.
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": {
"figranium": {
"command": "npx",
"args": [
"-y",
"figranium-mcp"
]
}
}
}Run this in your terminal
claude mcp add figranium -- npx -y figranium-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"figranium": {
"command": "npx",
"args": [
"-y",
"figranium-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": {
"figranium": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"figranium-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.
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 figranium, 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 (1.4.0) reached the registry 27 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:★ 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.
Figranium MCP Server
The official Model Context Protocol (MCP) server for Figranium, built with the official Figranium JavaScript SDK API client.
View
Figranium turns website workflows into reusable Tasks that AI agents can discover, create, and run through MCP. This server is the local STDIO client for connecting an MCP-compatible app to your Figranium instance.
Looking for the hosted OAuth MCP instead? Connect compatible remote MCP clients to
https://mcp.figranium.dev/mcp.
You need a running Figranium instance and an API key from Figranium settings.
Run the MCP server directly from npm:
FIGRANIUM_API_KEY=YOUR_API_KEY npx -y figranium-mcp
By default, it connects to Figranium at http://localhost:11345. To use another instance:
FIGRANIUM_BASE_URL=https://your-figranium-instance.example.com \
FIGRANIUM_API_KEY=YOUR_API_KEY \ npx -y figranium-mcp
Most local MCP clients accept a configuration shaped like this:
{
"mcpServers": { "figranium": { "command": "npx", "args": ["-y", "figranium-mcp"], "env": { "FIGRANIUM_BASE_URL": "http://localhost:11345", "FIGRANIUM_API_KEY": "YOUR_API_KEY" } } } }
Use that server entry in clients such as Codex, Claude Code, Cursor, GitHub Copilot, Claude Desktop, Cline, and other STDIO MCP clients.
If the MCP server itself runs inside Docker while Figranium runs on the host, use http://host.docker.internal:11345 instead of http://localhost:11345.
Once connected, an agent can work with Figranium without manually calling its API. The MCP server exposes tools for the core Task lifecycle:
| Tool | Purpose |
|---|---|
task_list | Discover existing Tasks |
create_task | Create a new Task |
task_execute | Execute a Task with optional variable overrides |
execution_list | Inspect previous executions |
schedule_list | Find scheduled Tasks |
schedule_get_all_status | Inspect scheduler state |
schedule_get_status | Inspect one Task's schedule |
schedule_set | Create or update a schedule |
schedule_delete | Remove a schedule |
schedule_describe | Validate and preview a schedule |
The server also exposes figranium://schemas/task-v1.json, allowing clients to inspect the Figranium Task schema directly.
Figranium's MCP instructions teach agents how to construct Tasks, choose selectors, use variables, and follow Task sequencing rules. Invalid Task payloads return structured validation diagnostics so an agent can correct its own request.
The npm package contains the local STDIO MCP server. It does not ship the Figranium MCP landing page or hosted OAuth UI.
For clients that support remote OAuth MCP, use:
https://mcp.figranium.dev/mcp
The hosted MCP handles OAuth and connects the client to a publicly reachable Figranium instance. For local clients, npx -y figranium-mcp is usually the simpler path and can connect directly to localhost.
Authenticated template catalog requests reject HTTP redirects to prevent x-api-key credentials from reaching a redirected destination. Point FIGRANIUM_BASE_URL at the final API origin; do not rely on a reverse proxy's 3xx redirect.
| Variable | Required | Default | Description |
|---|---|---|---|
FIGRANIUM_API_KEY | Yes | — | API key generated by your Figranium instance |
FIGRANIUM_BASE_URL | No | http://localhost:11345 | Base URL of the Figranium instance |
The server exits with a setup message if FIGRANIUM_API_KEY is missing.
Requires Node.js 18+ and npm 9+.
git clone https://github.com/figranium/figranium-mcp.git
cd figranium-mcp npm install npm run build
Run the compiled server:
FIGRANIUM_API_KEY=YOUR_API_KEY npm start
For active development:
npm run watch
Run the test suite:
npm test
You can inspect the published server with the official MCP Inspector:
FIGRANIUM_API_KEY=YOUR_API_KEY npx @modelcontextprotocol/inspector npx -y figranium-mcp