Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者提供的说明(英文原文)
MCP server for creating, running, inspecting, and scheduling Figranium browser automations.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"figranium": {
"command": "npx",
"args": [
"-y",
"figranium-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add figranium -- npx -y figranium-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"figranium": {
"command": "npx",
"args": [
"-y",
"figranium-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"figranium": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"figranium-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 figranium 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.4.0)于27天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Figranium MCP Server
The official Model Context Protocol (MCP) server for Figranium, built with the official Figranium JavaScript SDK API client.
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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