mario-playwright-mcp
MCP server for browser automation with AI agents, enabling network payload capture and QA workflows.
README
Playwright MCP Mario
Browser MCP for AI agents — based on Microsoft Playwright MCP with extensions for network payload capture and QA workflows.
What is this?
An MCP server that lets LLMs control a browser through accessibility snapshots (no vision models needed). This fork adds network payload capture and sensitive redaction — better for API debugging and QA.
flowchart LR
subgraph Card1["1- Default Playwright"]
D1[Microsoft upstream]
end
subgraph Card2["2- Mario Playwright"]
D2[network payloads · redaction]
end
subgraph Card3["3- Mario agent skills"]
D3[qa-agent · QA workflows]
end
subgraph Runtime[runtime]
direction LR
subgraph BrowserCard["4- Browser"]
Browser[Chromium]
end
subgraph ToolsCard["5- Tools"]
T1[navigate]
T2[click · type]
T3[snapshot · screenshot]
T4[network ++]
end
end
Card1 --> Card2 --> Card3 --> Runtime
BrowserCard --> ToolsCard
- MCP = bridge that controls the browser and returns snapshots, screenshots, console, network.
- Recommended: qa-agent skill for QA workflows.
- Mario vs upstream: full payloads, URL filter, sensitive redaction — not just
[POST] url => [200].
Quick start
1. Clone and install
git clone https://github.com/YOUR_ORG/mario-playwright-mcp.git
cd mario-playwright-mcp
npm install
npx playwright install chromium
2. Configure your MCP client
Cursor (in ~/.cursor/mcp.json or Settings → MCP):
{
"mcpServers": {
"playwright-mcp": {
"command": "node",
"args": [
"/path/to/mario-playwright-mcp/packages/playwright-mcp/cli.js",
"--output-dir",
".mcp-output"
]
}
}
}
Output (console logs, screenshots, etc.) goes to .mcp-output/ in the workspace. Add .mcp-output/ to .gitignore to keep the repo clean.
Generic config (VS Code, Claude Desktop, etc.) — use node + path to cli.js as above.
3. Use it
Open a project, start a chat, and use tools like browser_navigate, browser_snapshot, browser_network_requests.
QA Agent skill (recommended)
For QA workflows and structured test reports, use the qa-agent skill — an agent skill for QA engineers that uses this MCP for browser testing, post-action analysis (console + network), and evidence capture.
Tools
All tools the Playwright MCP exposes. ✨ = Mario-enhanced (better in this fork).
Core (always available)
| Tool | Description |
|---|---|
browser_navigate |
Navigate to a URL |
browser_navigate_back |
Go back |
browser_snapshot |
Capture accessibility tree (better than screenshot for actions) |
browser_take_screenshot |
Take a screenshot |
browser_console_messages |
Get console logs |
browser_network_requests ✨ |
List network requests — Mario: adds includePayloads, url filter, maxBodySize, sensitive redaction |
browser_click |
Click an element |
browser_type |
Type text into an element |
browser_hover |
Hover over an element |
browser_drag |
Drag and drop |
browser_fill_form |
Fill multiple form fields |
browser_select_option |
Select dropdown option |
browser_press_key |
Press a key |
browser_resize |
Set viewport size — browser opens at native resolution by default; use to test Mobile (375×667), Tablet (768×1024), Desktop (1920×1080) |
browser_evaluate |
Run JavaScript on the page |
browser_run_code |
Run Playwright code snippet |
browser_file_upload |
Upload files |
browser_handle_dialog |
Accept/dismiss dialogs |
browser_wait_for |
Wait for text or time |
browser_tabs |
List, create, close, or switch tabs |
browser_close |
Close the browser |
browser_install |
Install the browser (if missing) |
Opt-in (pass --caps=…)
| Capability | Tools |
|---|---|
--caps=pdf |
browser_pdf_save — Save page as PDF |
--caps=vision |
browser_mouse_move_xy, browser_mouse_click_xy, browser_mouse_drag_xy, browser_mouse_down, browser_mouse_up, browser_mouse_wheel — Coordinate-based actions |
--caps=testing |
browser_generate_locator, browser_verify_element_visible, browser_verify_list_visible, browser_verify_text_visible, browser_verify_value — Test assertions |
Extensions (vs upstream)
Network payload capture
browser_network_requests supports:
| Param | Description |
|---|---|
includePayloads |
When true, include request/response headers and bodies |
url |
Filter by URL substring (e.g. /login, /api/users) |
maxBodySize |
Max response body size (default 50KB) |
includeStatic |
Include images, fonts, etc. (default false) |
Example — get full details for a login call:
browser_network_requests(url: "/login", includePayloads: true)
Output:
[POST] https://api.example.com/login => [200] OK
Request headers: { "content-type": "application/json", ... }
Request body: {"email":"user@example.com","password":"***"}
Response headers: { "content-type": "application/json", ... }
Response body: {"token":"***","user":{...}}
Sensitive keys (password, token, secret, authorization, cookie, api_key) are redacted as ***.
Workflow
browser_network_requests(includeStatic: false)→ list URLsbrowser_network_requests(url: "/api/endpoint", includePayloads: true)→ headers + bodies for that request
Project structure
mario-playwright-mcp/
├── packages/
│ ├── playwright-mcp/ # MCP server
│ └── extension/ # Browser extension (upstream)
├── patches/ # Network payload patch for Playwright
├── docs/ # Extra docs
│ └── UPSTREAM.md # Update from Microsoft upstream
└── README.md
Update from upstream
git remote add upstream https://github.com/microsoft/playwright-mcp.git
git fetch upstream
git merge upstream/main
npm install
If Playwright version changes and the patch fails, re-apply changes in node_modules/playwright/lib/mcp/browser/tools/network.js and run npx patch-package playwright. See docs/UPSTREAM.md.
Requirements
- Node.js 18+
- MCP client (Cursor, VS Code, Claude Desktop, Goose, etc.)
For client-specific configs (Amp, Cline, LM Studio, etc.) and CLI options, see the upstream README.
Versioning
- main — development branch
- 1.1 — first Mario fork release (network payload capture, .mcp-output, etc.)
- 1.2, 1.3, … — future releases as changes land
Use semantic versioning: patch for fixes (1.1.1), minor for features (1.2.0).
License
Apache 2.0 — see LICENSE. Based on Microsoft Playwright MCP.
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