How do I find my WCAG.com API Key?

Log in to your [**WCAG.com account**](https://api.wcag.com/), navigate to the 'API Keys' section in your dashboard, and generate a new token. Copy and paste it below.

What compliance levels are supported?

The API audits against WCAG 2.1 levels A, AA, and AAA, identifying issues for each category.

Does it provide remediation tips?

Yes. The `get_wcag_guideline_details` tool retrieves specific implementation recommendations to help fix accessibility issues identified during audits.

WCAG.com Accessibility MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: WCAG.com Accessibility
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect WCAG.com Accessibility through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to WCAG.com Accessibility "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in WCAG.com Accessibility?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About WCAG.com Accessibility MCP Server

Empower your AI agent to orchestrate your entire web accessibility and inclusive design workflow with WCAG.com, the authoritative source for digital compliance data. By connecting the WCAG.com API to your agent, you transform complex accessibility audits into a natural conversation. Your agent can instantly analyze URLs for WCAG 2.1 compliance, audit specific issues and levels, and retrieve detailed remediation metadata without you ever touching a technical validator. Whether you are conducting quality assurance research or managing regional accessibility constraints, your agent acts as a real-time inclusive design consultant, ensuring your data is always verified and precise.

Pydantic AI validates every WCAG.com Accessibility tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Accessibility Auditing — Retrieve high-resolution reports for any URL, identifying issues and maintain a clear view of WCAG compliance.
Guideline Oversight — Audit specific WCAG guidelines to understand the technical reach of your digital products instantly.
Issue Discovery — Search for accessibility rules and standards to identify relevant stylistic markers for your UI components.
Metadata Intelligence — Retrieve unique issue identifiers and remediation recommendations to assist in deep-dive classification.
Operational Monitoring — Check API status to ensure your accessibility research workflow is always operational.

The WCAG.com Accessibility MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect WCAG.com Accessibility to Pydantic AI via MCP

Follow these steps to integrate the WCAG.com Accessibility MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from WCAG.com Accessibility with type-safe schemas

Why Use Pydantic AI with the WCAG.com Accessibility MCP Server

Pydantic AI provides unique advantages when paired with WCAG.com Accessibility through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your WCAG.com Accessibility integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your WCAG.com Accessibility connection logic from agent behavior for testable, maintainable code

WCAG.com Accessibility + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the WCAG.com Accessibility MCP Server delivers measurable value.

Type-safe data pipelines: query WCAG.com Accessibility with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple WCAG.com Accessibility tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query WCAG.com Accessibility and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock WCAG.com Accessibility responses and write comprehensive agent tests

WCAG.com Accessibility MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect WCAG.com Accessibility to Pydantic AI via MCP:

audit_url_accessibility

1 standards to identify accessibility issues and compliance markers. Perform a WCAG accessibility audit on a specific URL

check_api_status

com Accessibility API. Check if the WCAG.com service is operational

get_wcag_guideline_details

Get detailed metadata and recommendations for a specific WCAG guideline

list_accessibility_rules

List all accessibility rules used by the WCAG auditing engine

Example Prompts for WCAG.com Accessibility in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with WCAG.com Accessibility immediately.

"Perform an accessibility audit on 'https://example.com' using WCAG.com."

"What are the requirements for WCAG guideline '1.1.1'?"

"List all accessibility rules used by the engine."

Troubleshooting WCAG.com Accessibility MCP Server with Pydantic AI

Common issues when connecting WCAG.com Accessibility to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

WCAG.com Accessibility + Pydantic AI FAQ

Common questions about integrating WCAG.com Accessibility MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your WCAG.com Accessibility MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.