How to Use the Accessibility Prover MCP in Pydantic AI

Q: How do I integrate Accessibility Prover with Pydantic AI?

You install the package and add the MCPToolset to your agent definition. Pydantic AI handles the runtime validation of the tool's response automatically.

Q: Does Pydantic AI support the Accessibility Prover SSE transport?

Yes, you can configure the MCPToolset to connect via SSE for real-time communication. It works perfectly with the standard Pydantic AI agent workflow.

Ensure type-safe, accessible UI generation with Accessibility Prover and Pydantic AI.

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Connect Accessibility Prover MCP to Pydantic AI

Create your Vinkius account to connect Accessibility Prover 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 Accessibility Prover with Pydantic AI

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Strict accessibility typing for Pydantic AI

The `validate_accessibility` tool provides structured feedback that validates your UI against WCAG 2.2 AA. Pydantic AI ensures the response matches the expected schema exactly. If the tool finds a contrast violation or missing alt text, the validation fails. You avoid silent UI corruption by catching these issues at runtime.

Form label verification for Pydantic AI

Your agent uses `validate_accessibility` to check that every form input has a clear, explicit label relationship. This prevents the agent from creating inaccessible forms. Pydantic AI catches any deviation from these requirements immediately. You get a clear error message instead of an invisible barrier for your users.

Contrast ratio enforcement in Pydantic AI

The `validate_accessibility` tool mandates a 4.5:1 contrast ratio for all text elements. Your Pydantic AI agent checks this value against your color palette definition. If the ratio falls below the limit, the tool returns a failure. This forces the agent to adjust the color values before the component is validated.

Setup guide

Set up Accessibility Prover 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": {
        "accessibility-prover-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Accessibility Prover MCP in Pydantic AI

You install the package and add the `MCPToolset` to your agent definition. Pydantic AI handles the runtime validation of the tool's response automatically.

You get the combined benefit of strict Pydantic model validation and the `validate_accessibility` tool's WCAG logic. It creates a robust safety net for your generated frontend code.

Yes, you can configure the `MCPToolset` to connect via SSE for real-time communication. It works perfectly with the standard Pydantic AI agent workflow.

When the validation fails, Pydantic AI receives the error and can retry the generation. This loop ensures your agent produces compliant code without human intervention.

The server only touches the raw strings of your HTML and CSS for the duration of the validation check. No data persists on the server after the request completes.

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