WaveXisMCP

io.github.MathiasPaulenko由 GitHub 账号 MathiasPaulenko 发布v1.6.24更新于 Oct 25, 2026

220 browser automation tools for Chrome, Edge, and Firefox via CDP + BiDi. 100% Python.

发布方自己的服务:Wave AI

概览

AI 生成的概览

基于 Python 的 MCP 服务器,通过 CDP 与 BiDi 为 Chrome、Edge、Firefox 提供 220 个浏览器自动化工具,直接驱动本机已装浏览器。

可以做什么
  • 打开、复用和关闭浏览器会话,或以一次性调用自动启动并关闭浏览器
  • 导航页面、截图与生成 PDF、抓取内容、执行 JavaScript、检查 DOM、输入文本、管理 Cookie 与标签页,并按自然语言指令操作页面
  • 控制网络请求、存储、设备模拟、无障碍审计、对话框、下载与权限
  • 使用性能追踪、CSS 检查、控制台与安全检查等开发者工具功能,以及坐标级鼠标控制、视频录制和测试断言
  • 用单次 YAML 调用串联多个动作、访问原始 CDP/BiDi、运行 Lighthouse 审计、爬取、视觉比对和读取核心网页指标
  • 提供只读的会话资源(URL、Cookie、控制台、标签页)以及抓取、审计、填表、调试等工作流提示
适用场景
适合需要让助手操作真实浏览器的场景:截图、抓取或审计页面、填写表单、执行端到端检查,或调试网站的控台与网络行为。若本机已装 Chrome、Edge 或 Firefox,且不想引入 Node.js 或额外下载 Chromium,它比较合适。
运行要求
本地 Python 3.11 至 3.13 进程,通常用 uvx 或 pip 运行。需要已安装的 Chrome、Edge 或其他 Chromium 浏览器;可选的 BiDi 后端需要 PATH 中有 chromedriver 或 geckodriver,Firefox 支持依赖 geckodriver。未声明任何 API 密钥或环境变量。能力分层通过 --caps 参数选择,另提供 HTTP 传输模式。
安装前请注意
该服务器可控制真实浏览器,因此能代替你点击、输入、提交表单并更改远端数据。connect_existing 可复用带有已登录会话、Cookie 和扩展的 Chrome 配置文件,会话关闭时会终止该浏览器子进程。它提供隐藏自动化特征的隐身模式,可能与网站条款冲突。HTTP 模式配合 --allow-remote 会绑定到本机之外,应置于反向代理之后。启用全部分层会向模型上下文加入大量工具定义。

安装

在 SourceWeft 中

  1. 打开 控制台中的 WaveXisMCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[WaveXisMCP]

MCP server — 220 browser automation tools for LLMs

Chrome + Firefox · CDP + BiDi · 100% Python · zero Node.js · zero Chromium download


English | 简体中文 | 日本語

[CI] [PyPI] [PyPI Downloads] [Python] [Coverage] [Docker] [License] [Docs] [LightNow capabilities]

MCP server that exposes the wavexis browser automation library to LLMs. 220 tools across 13 capability tiers. No Node.js, no Chromium download — uses your existing Chrome/Edge. 100% Python.

Quick demo

30 seconds to your first screenshot. Add this to your MCP client config (Claude Desktop, Cursor, Windsurf, VS Code):

json
{  "mcpServers": {    "wavexis": {      "command": "uvx",      "args": ["wavexis-mcp", "--caps", "all"]    }  }}

Then ask your LLM:

"Take a full-page screenshot of https://example.com"

The LLM calls wavexis_screenshot(url="https://example.com", full_page=true) and returns the screenshot. No Node.js, no Chromium download, no setup beyond the config above.

Why WaveXisMCP?

WaveXisMCP wraps the wavexis browser automation library and exposes it as an MCP server. You don't need Node.js, Playwright, or a separate Chromium download — WaveXisMCP launches your existing Chrome or Edge installation directly.

Key features

  • 220 tools — 3x more than Playwright MCP (21), 2x more than zendriver-mcp (96)
  • 13 capability tiers — enable only what you need via --caps. Start with core (72 tools), add tiers as needed
  • Chrome + Firefox — CDP for Chrome/Edge, BiDi for Firefox. Both auto-launch their drivers from PATH
  • No Chromium download — uses your existing browser. ~5MB install vs ~400MB for Playwright MCP
  • Stealth mode — stealth=true hides navigator.webdriver, fakes plugins/languages/chrome runtime
  • Structured errors — every error includes a suggestion field so the LLM self-corrects without human help
  • Multi-action YAML — chain navigate → click → fill → screenshot in a single tool call
  • Raw CDP/BiDi access — escape hatch for any browser feature not covered by a dedicated tool
  • Lighthouse audits, WebAuthn, Bluetooth, Cast — niche features no other MCP server covers
  • SSRF protection, path sandboxing, rate limiting — security built in from day one
  • 700+ tests, 90% coverage enforced, E2E with real Chrome — production-ready

How it works

text
You (natural language)  → LLM decides which tool to call    → WaveXisMCP receives the tool call      → wavexis library executes it via CDP or BiDi        → Chrome/Edge/Firefox performs the action      ← Result returned as JSON (text, base64, file path)    ← JSON passed back to LLM  ← LLM summarizes the result for you

The LLM never sees the browser directly. It only sees tool definitions (name, description, parameters) and JSON responses. This means any MCP-compatible LLM client works out of the box — no custom integrations needed.

Core concepts

  • Tool — A single browser operation (screenshot, eval, click, etc.) exposed as an MCP tool that any LLM client can call.
  • Session — A persistent browser instance. Open a session, chain multiple tool calls, close when done. Avoids the overhead of launching a browser per action.
  • Stateless mode — Call any tool with a url parameter. The browser launches, executes, and closes automatically.
  • Capability tiers — 13 tiers from core (72 tools) to all (220 tools). Enable only what you need via --caps.
  • Dual backend — CDP (Chromium-native, via cdpwave) and BiDi (W3C cross-browser, via bidiwave) with per-session selection.
  • Structured errors — Every error includes a suggestion field that tells the LLM what to do next, enabling self-correction without human intervention.

Install

bash
pip install wavexis-mcp

The CDP backend (Chromium) is included by default. For the BiDi backend (Firefox):

bash
pip install "wavexis-mcp[bidi]"

Or run without installing (recommended):

bash
uvx wavexis-mcp

Requirements

  • Python: 3.11, 3.12, or 3.13
  • Browser: Google Chrome, Microsoft Edge, or any Chromium/Chrome-based browser
  • BiDi backend (optional): ChromeDriver/EdgeDriver for Chrome, or geckodriver for Firefox

Quick start

Add to your MCP client config (Claude Desktop, Cursor, Windsurf, VS Code):

json
{  "mcpServers": {    "wavexis": {      "command": "uvx",      "args": ["wavexis-mcp", "--caps", "all"]    }  }}

Or with pip:

json
{  "mcpServers": {    "wavexis": {      "command": "wavexis-mcp",      "args": ["--caps", "all"]    }  }}

Stateless mode (one-shot)

Call any tool with a url parameter — the browser launches, executes, and closes automatically:

text
wavexis_screenshot(url="https://example.com", full_page=true)

Session mode (multi-step)

Open a session, chain multiple actions, close when done:

text
wavexis_session_open(backend="cdp", headless=false)→ {"session_id": "abc-123"}
wavexis_navigate(session_id="abc-123", url="https://example.com")wavexis_click(session_id="abc-123", selector="#login")wavexis_screenshot(session_id="abc-123")wavexis_session_close(session_id="abc-123")

Natural language interaction (M1)

Use wavexis_act to interact with pages using natural language:

text
wavexis_session_open(backend="cdp")wavexis_navigate(session_id="abc-123", url="https://example.com")wavexis_act(session_id="abc-123", instruction="click the login button")→ {"action": "click", "element": {"ref": "el-3", "role": "button", "name": "Login"}, "status": "ok"}

The wavexis_act tool takes an a11y snapshot, matches the instruction to an element using keyword scoring, and executes the detected action (click, type, fill, hover). No external LLM calls — pure heuristic matching.

Capability tiers

TierFlagToolsKey features
Corealways on72Session, navigation, screenshot, PDF, scrape, eval, DOM, input, cookies, tabs, NL interaction, iframe, shadow DOM, events
Network--caps=network20Headers, UA, block, throttle, cache, HAR, intercept, mock, modify req/resp, request body, replay HAR, request list
Storage--caps=storage18localStorage, sessionStorage, cache storage, IndexedDB, state save/restore
Emulation--caps=emulation9Device, viewport, geolocation, timezone, dark mode, locale, CPU, touch, sensors
A11y--caps=a11y4Accessibility tree snapshot, node traversal, axe-core audit
Interactions--caps=interactions5Dialogs, downloads, permissions
DevTools--caps=devtools31Performance, CSS, debugging, overlay, console, security, window mgmt, combined trace, annotated screenshot
Vision--caps=vision7Coordinate-based mouse (pixel-precise)
Video--caps=video4Video recording, chapters, action overlay
Testing--caps=testing6Assertions, locator generation
Workflows--caps=workflows6Multi-action YAML, raw CDP/BiDi, browser context CRUD
Data--caps=data7Codegen, Lighthouse audit, extract, websocket intercept, crawl, visual diff, core web vitals
Experimental--caps=experimental31Service workers, animations, WebAuthn, WebAudio, media, cast, bluetooth, extensions, prefs
Total--caps=all220

Default: --caps=core (72 tools). Enable all: --caps=all. Enable specific: --caps=network,storage,emulation.

Tip: Start with --caps core and add tiers as needed. Each tier adds tool definitions to the LLM's context, which consumes tokens. For most tasks, core,network,storage (110 tools) is a good balance.

Backends

WaveXisMCP supports two backends with full feature parity:

  • CDP (cdpwave) — default, Chrome DevTools Protocol. Direct WebSocket to Chrome/Edge. No driver needed. 57 CDP domains. Included by default.
  • BiDi (bidiwave) — WebDriver BiDi protocol, W3C cross-browser (Firefox, Chrome). Needs chromedriver (Chrome) or geckodriver (Firefox); both are auto-launched from PATH if not already running. pip install "wavexis-mcp[bidi]"

Select per session:

text
# CDP (default, Chrome/Edge only)wavexis_session_open(backend="cdp")
# BiDi with Chrome (auto-launches chromedriver)wavexis_session_open(backend="bidi", browser="chrome")
# BiDi with Firefox (auto-launches geckodriver)wavexis_session_open(backend="bidi", browser="firefox")

Connect to existing Chrome

Use connect_existing=True to launch Chrome with --remote-debugging-port and connect to it. Useful for reusing a browser profile with logged-in sessions:

text
# Launch Chrome with debug port and connect via CDPwavexis_session_open(connect_existing=true)
# Reuse an existing Chrome profile (keeps logins, cookies, extensions)wavexis_session_open(connect_existing=true, user_data_dir="C:/Users/me/ChromeProfile")

Chrome is launched headed (headless is ignored). The browser subprocess is terminated when the session is closed.

Multi-action YAML

Chain multiple actions in a single tool call by passing a YAML string:

text
wavexis_multi_action(    config="""actions:  - navigate: https://example.com  - screenshot:      full_page: true  - eval: document.title  - click: "#login"  - type:      selector: "#username"      text: [email protected]  - screenshot: {}""",    session_id="abc-123")

Supported action types: navigate, screenshot, eval, click, type, fill. Set continue_on_error: true to keep executing on failures.

MCP resources & prompts (M3)

Resources (read-only browser state):

  • wavexis://session/{id}/url — current page URL
  • wavexis://session/{id}/cookies — cookies as JSON
  • wavexis://session/{id}/console — console messages
  • wavexis://session/{id}/tabs — open tabs

Prompts (workflow templates):

  • scrape_page(url, selector) — scrape and extract content
  • audit_page(url) — full a11y + performance audit
  • fill_form(url, fields) — fill a form on a page
  • debug_page(url) — debug console, network, performance

HTTP transport

Run WaveXisMCP as an HTTP server for CI/CD, shared instances, or Docker:

bash
# HTTP on localhostwavexis-mcp --transport http --port 8765
# HTTP with all tierswavexis-mcp --transport http --port 8765 --caps all
# HTTP with remote access (use behind a reverse proxy!)wavexis-mcp --transport http --allow-remote --port 8765

Binds to 127.0.0.1 by default. Use --allow-remote for 0.0.0.0.

Rate limiting (M4)

Per-session token bucket rate limiting:

bash
# 10 calls/sec, burst of 5wavexis-mcp --rate-limit 10 --rate-burst 5

When exceeded, the tool returns the standard structured error: {"error": "Rate limit exceeded. Retry after Nms.", "type": "RuntimeError", ...}. Set --rate-limit 0 to disable.

Docker

bash
# Pull and rundocker run -p 8765:8765 ghcr.io/mathiaspaulenko/wavexis-mcp
# Or build locallydocker build -t wavexis-mcp .docker run -p 8765:8765 wavexis-mcp
# Docker Composedocker-compose up

See Docker docs for details.

Comparison

FeaturePlaywright MCPWaveXisMCP
LanguageTypeScriptPython
Node.js required✗✓ (no Node.js)
Downloads Chromium (~200MB)✓✗ (uses existing browser)
Install size~400MB~5MB
Cold start3.2s0.8s
Total tools~21220
Capability tiers (opt-in)✗✓ (13 tiers)
Dual protocol (CDP + BiDi)✗✓
Firefox support✓ (basic)✓ (BiDi + geckodriver auto-launch)
Backend selection (per session)✗✓
Stealth / anti-bot mode✗✓
Raw CDP/BiDi access✗✓ (escape hatch)
Multi-action YAML batching✗✓
Video recording✗✓
Lighthouse audit✗✓
WebAuthn / Bluetooth / Cast✗✓
Natural language interaction✗✓ (wavexis_act)
MCP resources & prompts✗✓
Rate limiting✗✓
SSRF protection✗✓
Structured errors with suggestions✗✓

Note: Playwright MCP supports WebKit (Safari) — WaveXisMCP does not (yet). See the roadmap for planned features.

Documentation

Full documentation, API reference, and examples are hosted at mathiaspaulenko.github.io/wavexis-mcp.

Key sections:

Error handling

All tools return structured error JSON on failure. Every error includes a suggestion field that guides the LLM toward the next action:

json
{  "error": "Session 'abc-123' not found.",  "tool": "wavexis_navigate",  "type": "SessionNotFoundError",  "message": "Session 'abc-123' not found.",  "suggestion": "Call wavexis_session_open first to create a browser session."}

This enables the LLM to self-correct without human intervention — it reads the suggestion and calls the recommended tool.

Architecture

WaveXisMCP sits at the top of a three-layer ecosystem:

text
WaveXisMCP (MCP server, 220 tools)└─ wraps → wavexis (browser automation library)               ├─ cdpwave (CDP backend, Chromium-native)               └─ bidiwave (BiDi backend, W3C cross-browser)
  • cdpwave — low-level async Python library for the Chrome DevTools Protocol. Direct WebSocket to Chrome/Edge. No driver binary needed.
  • bidiwave — low-level async Python library for the WebDriver BiDi protocol (W3C standard). Works with Firefox, Chrome, and Edge.
  • wavexis — high-level browser automation library that abstracts cdpwave and bidiwave behind a unified AbstractBackend interface.
  • WaveXisMCP — MCP server wrapping wavexis. Exposes each backend method as an MCP tool with Pydantic v2 input validation, JSON responses, and capability tier filtering.

See Architecture docs for the full system design, data flow diagrams, and ADRs.

Development

bash
git clone https://github.com/MathiasPaulenko/wavexis-mcp.gitcd wavexis-mcppip install -e ".[dev]"
# Run quality checksruff check wavexis_mcp testsruff format --checkmypy wavexis_mcppython -m bandit -r wavexis_mcp
# Run testspytest tests/unit -v

Contributing

Contributions are welcome. Please see CONTRIBUTING.md for the development workflow, coding standards, and pull request process. For security issues, see SECURITY.md.

Acknowledgements

WaveXisMCP is built on the wavexis browser automation library and the Model Context Protocol. Thanks to the open-source Python and MCP communities for the tools and standards that make this project possible.

License

MIT

mcp-name: io.github.MathiasPaulenko/wavexis-mcp

来源:README.md,提交 4dc3a3f

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.6.24最新Sep 16, 2026

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