How to Use the WCAG.com Accessibility MCP in Google ADK

Q: Can Google ADK check if the service is operational before auditing?

Yes, you can use checkapistatus. Your agent runs this first, confirming that the WCAG.com accessibility API is online and ready to accept requests before starting a long audit job.

Audit web compliance against WCAG standards using your agent with Google ADK.

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Connect WCAG.com Accessibility MCP to Google ADK

Create your Vinkius account to connect WCAG.com Accessibility to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WCAG.com Accessibility with Google ADK

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Run full audit on a target URL

Your agent performs comprehensive accessibility audits by calling `audit_url_accessibility`. You give it the page, and it returns a detailed compliance report. This lets you quickly pinpoint exactly where your site fails WCAG requirements. The results are structured data, perfect for feeding directly into BigQuery or another analysis tool within Google Cloud.

List all underlying accessibility rules

Need to understand the full scope of checks? Use `list_accessibility_rules`. This tool provides a complete index of every single rule used by the WCAG auditing engine. It's great for QA teams. You can verify that every standard you care about—from contrast ratios to keyboard navigation—is included in the checkset.

Retrieve guideline metadata and recommendations

If a specific WCAG principle needs clarification, call `get_wcag_guideline_details`. You pass the ID, and it returns rich documentation and implementation advice. This gives your agent more than just an error code; it provides context so that developers know *why* they're failing and *how* to fix it.

Setup guide

Set up WCAG.com Accessibility MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WCAG.com Accessibility tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WCAG.com Accessibility_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WCAG.com Accessibility tools via MCP.",
    tools=mcp_tools,
)

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Common questions about WCAG.com Accessibility MCP in Google ADK

The server allows your agent to perform deep web accessibility audits, feeding the results directly into your Google Cloud data infrastructure. You can run these checks as part of a larger enterprise workflow.

This server processes URL accessibility compliance data and structured guideline metadata. It focuses on analyzing the technical structure of web content to ensure universal access.

Yes, you can use `check_api_status`. Your agent runs this first, confirming that the WCAG.com accessibility API is online and ready to accept requests before starting a long audit job.

It's built for scale. Since your agent supports long-context reasoning, you can chain multiple audits together and manage the resulting data flow into BigQuery easily.

The server handles URL accessibility compliance information. The results are focused on technical web structures, allowing you to analyze site health without needing to store sensitive user content.

Use it with your favorite AI tools

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