How to Use the WCAG.com Accessibility MCP in Pydantic AI

Q: Can I confirm the API status using WCAG.com Accessibility and Pydantic AI?

Yes, you can call checkapistatus. The resulting operational data is validated by your agent's internal models, so you know precisely if the service is available before attempting a full audit.

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Connect WCAG.com Accessibility MCP to Pydantic AI

Create your Vinkius account to connect WCAG.com Accessibility to Pydantic AI 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 Pydantic AI

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Audit a specific URL with type safety

Run the audit against a target page using `audit_url_accessibility`. Because of Pydantic, you don't have to worry about unexpected output fields. The agent validates every piece of data returned. If the API sends back garbage—a missing field or wrong type—the agent fails loudly with an error. You get correct, structured compliance results every time.

Get detailed WCAG guideline information

Need to verify a complex accessibility rule? Use `get_wcag_guideline_details`. The response is instantly validated against Pydantic models. This means the metadata and recommendations you get are always in the format your code expects. It eliminates guesswork; the data structure itself guarantees correctness for downstream processing.

List all rules, guaranteed structured output

When listing available checks via `list_accessibility_rules`, you know exactly what you're getting. Pydantic validates that every rule name and associated metadata conforms to your expected schema. This level of type safety is crucial for production agents; it stops silent data corruption dead in its tracks.

Setup guide

Set up WCAG.com Accessibility MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wcagcom-accessibility-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to WCAG.com Accessibility tools.",
)

result = await agent.run("List recent WCAG.com Accessibility transactions")
print(result.output)

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Common questions about WCAG.com Accessibility MCP in Pydantic AI

It gives you rock-solid reliability when auditing web accessibility. The core benefit is that the audit results are validated against strict Pydantic models, guaranteeing type safety and data integrity.

The server deals with URL accessibility compliance information and detailed technical guidelines. All of this data is automatically validated by Pydantic, making it reliable for any application.

Yes, you can call `check_api_status`. The resulting operational data is validated by your agent's internal models, so you know precisely if the service is available before attempting a full audit.

It's ideal. Since correctness matters more than speed in your use case, the mandatory runtime validation prevents hallucinated fields or unexpected data formats from ever reaching your application code.

The server processes URL accessibility compliance information. The agent only receives structured, validated audit results about the web structure, ensuring that sensitive user or system details are not exposed.

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