How to Use the UI/UX Excellence Prover MCP in Pydantic AI
Ensure perfect, validated interface specifications with Pydantic AI and UI/UX Excellence Prover.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UI/UX Excellence Prover MCP to Pydantic AI
Create your Vinkius account to connect UI/UX Excellence 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.
Enforcing Design Hierarchy
The `validate_uiux_excellence` tool enforces clear spatial depth by checking for semantic elevation levels (0-5). It prevents 'flat decoration'—where all buttons look the same and nothing is prioritized—by demanding distinct shadows and z-index layers. This strict validation ensures that when your agent outputs an interface schema, the priority of elements (e.g., a critical error vs. a background card) is mathematically defined.
Validating User Interaction Flows
The tool validates microinteraction completeness by enforcing eight states per interactive element. It verifies that your schema accounts for the full user journey: default, hover, focus-visible, active/pressed, loading, success, error, and disabled. If you define a button in your Pydantic model but forget its 'loading' state, this Prover will catch it, preventing runtime failures due to incomplete UX definitions.
Guaranteeing Accessibility Standards
The `validate_uiux_excellence` checks for WCAG 2.2 AAA compliance across your defined schema. It requires explicit alt text on images and ensures every element has a proper focus-visible ring. Furthermore, it validates the underlying rhythm by checking that your typographic scale maintains a minimum 3:1 ratio between headings and body text.
Set up UI/UX Excellence 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"uiux-excellence-prover-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to UI/UX Excellence Prover tools.",
)
result = await agent.run("List recent UI/UX Excellence Prover transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UI/UX Excellence Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about UI/UX Excellence Prover MCP in Pydantic AI
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