parallel-browser-mcp

parallel-browser-mcp

parallel-browser-mcp is an MCP server for parallel browser automation. It exposes a numeric session model over MCP so one client can create and control multiple browser sessions at the same time across multiple browser providers.

Category
访问服务器

README

parallel-browser-mcp

parallel-browser-mcp is an MCP server for parallel browser automation. It exposes a numeric session model over MCP so one client can create and control multiple browser sessions at the same time across multiple browser providers.

Supported providers:

  • playwright for local Chromium
  • browserbase via @browserbasehq/sdk
  • anchor via anchorbrowser
  • cloudflare via Cloudflare Browser Run

Each browser session gets a numeric ID like 1, 2, 3, and every browser_* tool accepts a sessionId.

Features

  • Multiple concurrent browser sessions in memory
  • Provider abstraction shared across Browserbase, Anchor Browser, Cloudflare Browser Run, and local Playwright
  • MCP session tools:
    • start_session
    • close_session
    • close_all_sessions
    • get_sessions
  • Browser tools:
    • browser_navigate
    • browser_go_back
    • browser_click
    • browser_fill
    • browser_fill_form
    • browser_screenshot
    • browser_snapshot
    • browser_hover
    • browser_drag
    • browser_select_option
    • browser_generate_locator
    • browser_get_page_structure
    • browser_evaluate
    • browser_keyboard_press
    • browser_keyboard_type
    • browser_mouse_move
    • browser_mouse_click_xy
    • browser_mouse_drag
    • browser_upload_file
    • browser_wait_for_selector
    • browser_wait_for_timeout

Quick Start

corepack pnpm install
corepack pnpm build

Run locally over stdio:

node dist/index.js

Run it as an npm package CLI:

npx parallel-browser-mcp@latest

Configuration

Provider-specific settings are configured at the MCP server configuration level, not per tool call.

The server reads config in this order:

  1. BROWSER_MCP_CONFIG
  2. BROWSER_MCP_CONFIG_PATH
  3. direct env defaults
  4. built-in defaults

Recommended config shape:

{
  "defaultProvider": "playwright",
  "providers": {
    "browserbase": {
      "projectId": "proj_123",
      "keepAlive": true
    },
    "anchor": {
      "recording": false
    },
    "playwright": {
      "launchOptions": {
        "headless": true
      }
    }
  }
}

Required credentials by provider:

  • playwright: none
  • browserbase: BROWSERBASE_API_KEY, plus a projectId in config or BROWSERBASE_PROJECT_ID
  • anchor: ANCHOR_API_KEY
  • cloudflare: CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID

Optional env defaults:

  • BROWSERBASE_PROJECT_ID
  • BROWSERBASE_KEEP_ALIVE
  • BROWSERBASE_CONTEXT_ID
  • BROWSERBASE_PERSIST
  • PLAYWRIGHT_STORAGE_STATE_PATH
  • PLAYWRIGHT_EXECUTABLE_PATH
  • PLAYWRIGHT_CHANNEL

Installation

Use the standard config below in any MCP client that supports stdio:

{
  "mcpServers": {
    "parallel-browser-mcp": {
      "command": "npx",
      "args": ["parallel-browser-mcp@latest"],
      "env": {
        "BROWSER_MCP_CONFIG": "{\"defaultProvider\":\"playwright\",\"providers\":{\"playwright\":{\"launchOptions\":{\"headless\":true}}}}",
        "BROWSERBASE_API_KEY": "your_browserbase_key",
        "ANCHOR_API_KEY": "your_anchor_key"
      }
    }
  }
}

<details> <summary>Claude Code</summary>

Use the Claude Code CLI to add the server:

claude mcp add parallel-browser-mcp npx parallel-browser-mcp@latest

If you need provider configuration, add the environment variables in your Claude MCP config using the standard config above. </details>

<details> <summary>Claude Desktop</summary>

Follow the Claude Desktop MCP install flow and use the standard config above in the local MCP configuration file. </details>

<details> <summary>Codex</summary>

Use the Codex CLI:

codex mcp add parallel-browser-mcp npx "parallel-browser-mcp@latest"

Or add this to ~/.codex/config.toml:

[mcp_servers.parallel-browser-mcp]
command = "npx"
args = ["parallel-browser-mcp@latest"]

</details>

<details> <summary>Copilot</summary>

Use the Copilot CLI interactive flow:

/mcp add

Or add this to ~/.copilot/mcp-config.json:

{
  "mcpServers": {
    "parallel-browser-mcp": {
      "type": "local",
      "command": "npx",
      "tools": ["*"],
      "args": ["parallel-browser-mcp@latest"],
      "env": {
        "BROWSER_MCP_CONFIG": "{\"defaultProvider\":\"playwright\",\"providers\":{\"playwright\":{\"launchOptions\":{\"headless\":true}}}}",
        "BROWSERBASE_API_KEY": "your_browserbase_key",
        "ANCHOR_API_KEY": "your_anchor_key"
      }
    }
  }
}

</details>

<details> <summary>Cursor</summary>

Go to Cursor Settings -> MCP -> Add new MCP Server, then use:

  • command: npx
  • args: parallel-browser-mcp@latest

Or paste the standard config above into the MCP config editor. </details>

<details> <summary>Gemini</summary>

Add the server to .gemini/settings.json:

{
  "mcpServers": {
    "parallel-browser-mcp": {
      "command": "npx",
      "args": ["parallel-browser-mcp@latest"],
      "env": {
        "BROWSER_MCP_CONFIG": "{\"defaultProvider\":\"playwright\",\"providers\":{\"playwright\":{\"launchOptions\":{\"headless\":true}}}}",
        "BROWSERBASE_API_KEY": "your_browserbase_key",
        "ANCHOR_API_KEY": "your_anchor_key"
      }
    }
  }
}

</details>

<details> <summary>VS Code</summary>

Use the MCP install flow in VS Code with the standard config above, or install with the VS Code CLI:

code --add-mcp '{"name":"parallel-browser-mcp","command":"npx","args":["parallel-browser-mcp@latest"]}'

</details>

Example Flow

  1. Call start_session with { "provider": "playwright" }
  2. Read the returned session id
  3. Call browser_navigate with { "sessionId": 1, "url": "https://example.com" }
  4. Call any additional browser_* tool with the same sessionId
  5. Call close_session when done

Development

corepack pnpm install
corepack pnpm typecheck
corepack pnpm test
corepack pnpm test:coverage
corepack pnpm build
corepack pnpm smoke:local

Publishing

This repo is set up to publish as an npm package:

  • the CLI entrypoint is parallel-browser-mcp
  • production builds exclude tests and smoke scripts
  • the published package only includes dist, README.md, and .env.example

Before publishing:

corepack pnpm typecheck
corepack pnpm test
corepack pnpm build
npm pack --dry-run

GitHub Actions publishing:

  • .github/workflows/publish.yml publishes to npm on GitHub release publication or manual dispatch
  • set the NPM_TOKEN repository secret before using the publish workflow

Examples

  • examples/local contains a standalone npm package that connects to parallel-browser-mcp with @langchain/mcp-adapters and runs a LangChain agent against the local Playwright provider.
  • examples/browserbase contains a standalone npm package that connects LangChain to the published MCP server with Browserbase config and prompts the agent to use browser_screenshot.
  • examples/anchor contains a standalone npm package that connects LangChain to the published MCP server with Anchor config and prompts the agent to use browser_snapshot.
  • examples/cloudflare contains a standalone npm package that connects LangChain to the published MCP server with Cloudflare Browser Run config and prompts the agent to use browser_snapshot.
  • The root .npmignore excludes the full examples directory from npm publishing.

Testing

The repo includes:

  • unit coverage for config loading, providers, registry behavior, session tools, and representative browser tools
  • a local Playwright smoke script in src/smoke/localSmoke.ts

Notes

  • start_session is intentionally small. Provider-specific behavior belongs in MCP configuration, not tool inputs.
  • The server logs to stderr so stdout stays clean for MCP JSON-RPC traffic.
  • Browserbase and Anchor Browser are normalized to Playwright page operations after connection, so the browser tools stay provider-agnostic.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选