
WaveXisMCP
io.github.MathiasPaulenkoPublished by GitHub account MathiasPaulenkov1.6.24Updated Oct 25, 2026
220 browser automation tools for Chrome, Edge, and Firefox via CDP + BiDi. 100% Python.
The publisher's own server: Wave AI
Overview
Python MCP server exposing 220 browser automation tools for Chrome, Edge and Firefox over CDP and BiDi, driving your existing browser.
- What you can do
- Open, reuse and close browser sessions, or run one-shot calls that launch and close a browser automatically
- Navigate pages, take screenshots and PDFs, scrape content, evaluate JavaScript, inspect the DOM, input text, manage cookies and tabs, and act on pages from natural-language instructions
- Control network traffic, storage, device emulation, accessibility audits, dialogs, downloads and permissions
- Use DevTools features such as performance traces, CSS inspection, console and security checks, plus coordinate-based mouse control, video recording and test assertions
- Chain actions in a single YAML call, reach raw CDP/BiDi, run Lighthouse audits, crawl, diff visuals and read core web…
- When to use it
- Useful when an assistant needs to drive a real browser: capturing screenshots, scraping or auditing pages, filling forms, running end-to-end checks, or debugging a site's console and network behaviour. A good fit if you already have Chrome, Edge or Firefox installed and want to avoid a Node.js or bundled Chromium dependency.
- Requirements
- Local Python 3.11-3.13 process, typically run with uvx or pip. An installed Chrome, Edge or other Chromium browser; the optional BiDi backend needs chromedriver or geckodriver on PATH, and Firefox support uses geckodriver. No API keys or environment variables are declared. Capability tiers are chosen with the --caps flag; an HTTP transport mode is also available.
Installation
In SourceWeft
- Open WaveXisMCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
MCP server — 220 browser automation tools for LLMs
Chrome + Firefox · CDP + BiDi · 100% Python · zero Node.js · zero Chromium download
[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):
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 withcore(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=truehidesnavigator.webdriver, fakes plugins/languages/chrome runtime - Structured errors — every error includes a
suggestionfield 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
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
urlparameter. The browser launches, executes, and closes automatically. - Capability tiers — 13 tiers from
core(72 tools) toall(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
suggestionfield that tells the LLM what to do next, enabling self-correction without human intervention.
Install
The CDP backend (Chromium) is included by default. For the BiDi backend (Firefox):
Or run without installing (recommended):
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):
Or with pip:
Stateless mode (one-shot)
Call any tool with a url parameter — the browser launches, executes, and closes automatically:
Session mode (multi-step)
Open a session, chain multiple actions, close when done:
Natural language interaction (M1)
Use wavexis_act to interact with pages using natural language:
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
Default: --caps=core (72 tools). Enable all: --caps=all. Enable specific: --caps=network,storage,emulation.
Tip: Start with
--caps coreand 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:
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:
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:
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 URLwavexis://session/{id}/cookies— cookies as JSONwavexis://session/{id}/console— console messageswavexis://session/{id}/tabs— open tabs
Prompts (workflow templates):
scrape_page(url, selector)— scrape and extract contentaudit_page(url)— full a11y + performance auditfill_form(url, fields)— fill a form on a pagedebug_page(url)— debug console, network, performance
HTTP transport
Run WaveXisMCP as an HTTP server for CI/CD, shared instances, or Docker:
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:
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
See Docker docs for details.
Comparison
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:
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:
- 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
AbstractBackendinterface. - 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
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
Source: README.md at commit 4dc3a3f
Tools
0Version history
1- v1.6.24LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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