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Add accessibility report cookbook recipe
Add a new cookbook recipe that generates WCAG accessibility reports using the Playwright MCP server. Includes streaming output, structured report formatting, and optional Playwright test generation. - C#, TypeScript, Python, and Go implementations - Markdown documentation for each language - Updated cookbook.yml, copilot-sdk README, and package.json
This commit is contained in:
Aaron Powell
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cookbook/copilot-sdk/python/accessibility-report.md
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cookbook/copilot-sdk/python/accessibility-report.md
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# Generating Accessibility Reports
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Build a CLI tool that analyzes web page accessibility using the Playwright MCP server and generates detailed WCAG-compliant reports with optional test generation.
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> **Runnable example:** [recipe/accessibility_report.py](recipe/accessibility_report.py)
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>
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> ```bash
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> cd recipe && pip install -r requirements.txt
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> python accessibility_report.py
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> ```
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## Example scenario
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You want to audit a website's accessibility compliance. This tool navigates to a URL using Playwright, captures an accessibility snapshot, and produces a structured report covering WCAG criteria like landmarks, heading hierarchy, focus management, and touch targets. It can also generate Playwright test files to automate future accessibility checks.
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## Prerequisites
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```bash
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pip install github-copilot-sdk
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```
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You also need `npx` available (Node.js installed) for the Playwright MCP server.
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## Usage
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```bash
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python accessibility_report.py
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# Enter a URL when prompted
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```
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## Full example: accessibility_report.py
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```python
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#!/usr/bin/env python3
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import asyncio
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from copilot import (
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CopilotClient, SessionConfig, MessageOptions,
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SessionEvent, SessionEventType,
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)
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# ============================================================================
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# Main Application
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# ============================================================================
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async def main():
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print("=== Accessibility Report Generator ===\n")
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url = input("Enter URL to analyze: ").strip()
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if not url:
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print("No URL provided. Exiting.")
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return
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# Ensure URL has a scheme
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if not url.startswith("http://") and not url.startswith("https://"):
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url = "https://" + url
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print(f"\nAnalyzing: {url}")
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print("Please wait...\n")
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# Create Copilot client with Playwright MCP server
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client = CopilotClient()
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await client.start()
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session = await client.create_session(SessionConfig(
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model="claude-opus-4.6",
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streaming=True,
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mcp_servers={
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"playwright": {
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"type": "local",
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"command": "npx",
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"args": ["@playwright/mcp@latest"],
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"tools": ["*"],
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}
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},
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))
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done = asyncio.Event()
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# Set up streaming event handling
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def handle_event(event: SessionEvent):
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if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
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print(event.data.delta_content or "", end="", flush=True)
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elif event.type.value == "session.idle":
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done.set()
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elif event.type.value == "session.error":
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print(f"\nError: {event.data.message}")
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done.set()
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session.on(handle_event)
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prompt = f"""
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Use the Playwright MCP server to analyze the accessibility of this webpage: {url}
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Please:
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1. Navigate to the URL using playwright-browser_navigate
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2. Take an accessibility snapshot using playwright-browser_snapshot
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3. Analyze the snapshot and provide a detailed accessibility report
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Format the report with emoji indicators:
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- 📊 Accessibility Report header
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- ✅ What's Working Well (table with Category, Status, Details)
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- ⚠️ Issues Found (table with Severity, Issue, WCAG Criterion, Recommendation)
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- 📋 Stats Summary (links, headings, focusable elements, landmarks)
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- ⚙️ Priority Recommendations
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Use ✅ for pass, 🔴 for high severity issues, 🟡 for medium severity, ❌ for missing items.
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Include actual findings from the page analysis.
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"""
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await session.send(MessageOptions(prompt=prompt))
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await done.wait()
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print("\n\n=== Report Complete ===\n")
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# Prompt user for test generation
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generate_tests = input(
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"Would you like to generate Playwright accessibility tests? (y/n): "
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).strip().lower()
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if generate_tests in ("y", "yes"):
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done.clear()
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detect_language_prompt = """
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Analyze the current working directory to detect the primary programming language.
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Respond with ONLY the detected language name and a brief explanation.
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If no project is detected, suggest "TypeScript" as the default.
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"""
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print("\nDetecting project language...\n")
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await session.send(MessageOptions(prompt=detect_language_prompt))
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await done.wait()
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language = input(
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"\n\nConfirm language for tests (or enter a different one): "
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).strip()
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if not language:
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language = "TypeScript"
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done.clear()
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test_generation_prompt = f"""
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Based on the accessibility report you just generated for {url},
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create Playwright accessibility tests in {language}.
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Include tests for: lang attribute, title, heading hierarchy, alt text,
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landmarks, skip navigation, focus indicators, and touch targets.
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Use Playwright's accessibility testing features with helpful comments.
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Output the complete test file.
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"""
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print("\nGenerating accessibility tests...\n")
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await session.send(MessageOptions(prompt=test_generation_prompt))
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await done.wait()
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print("\n\n=== Tests Generated ===")
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await session.destroy()
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await client.stop()
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if __name__ == "__main__":
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asyncio.run(main())
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```
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## How it works
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1. **Playwright MCP server**: Configures a local MCP server running `@playwright/mcp` to provide browser automation tools
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2. **Streaming output**: Uses `streaming=True` and `ASSISTANT_MESSAGE_DELTA` events for real-time token-by-token output
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3. **Accessibility snapshot**: Playwright's `browser_snapshot` tool captures the full accessibility tree of the page
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4. **Structured report**: The prompt engineers a consistent WCAG-aligned report format with emoji severity indicators
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5. **Test generation**: Optionally detects the project language and generates Playwright accessibility tests
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## Key concepts
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### MCP server configuration
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The recipe configures a local MCP server that runs alongside the session:
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```python
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session = await client.create_session(SessionConfig(
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mcp_servers={
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"playwright": {
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"type": "local",
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"command": "npx",
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"args": ["@playwright/mcp@latest"],
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"tools": ["*"],
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}
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},
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))
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```
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This gives the model access to Playwright browser tools like `browser_navigate`, `browser_snapshot`, and `browser_click`.
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### Streaming with events
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Unlike `send_and_wait`, this recipe uses streaming for real-time output:
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```python
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def handle_event(event: SessionEvent):
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if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
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print(event.data.delta_content or "", end="", flush=True)
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elif event.type.value == "session.idle":
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done.set()
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session.on(handle_event)
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```
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## Sample interaction
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```
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=== Accessibility Report Generator ===
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Enter URL to analyze: github.com
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Analyzing: https://github.com
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Please wait...
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📊 Accessibility Report: GitHub (github.com)
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✅ What's Working Well
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| Category | Status | Details |
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|----------|--------|---------|
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| Language | ✅ Pass | lang="en" properly set |
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| Page Title | ✅ Pass | "GitHub" is recognizable |
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| Heading Hierarchy | ✅ Pass | Proper H1/H2 structure |
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| Images | ✅ Pass | All images have alt text |
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⚠️ Issues Found
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| Severity | Issue | WCAG Criterion | Recommendation |
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|----------|-------|----------------|----------------|
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| 🟡 Medium | Some links lack descriptive text | 2.4.4 | Add aria-label to icon-only links |
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📋 Stats Summary
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- Total Links: 47
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- Total Headings: 8 (1× H1, proper hierarchy)
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- Focusable Elements: 52
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- Landmarks Found: banner ✅, navigation ✅, main ✅, footer ✅
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=== Report Complete ===
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Would you like to generate Playwright accessibility tests? (y/n): y
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Detecting project language...
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TypeScript detected (package.json found)
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Confirm language for tests (or enter a different one):
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Generating accessibility tests...
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[Generated test file output...]
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=== Tests Generated ===
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```
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