How to Use the Accessibility Prover MCP in AutoGen

Q: How do I add this MCP Server to my AutoGen agent group?

You use the autogen-extmcp package to load the server tools. Pass the resulting tool list to your AssistantAgent constructor so any agent can trigger a check.

Let your AutoGen agents debate UI accessibility and resolve WCAG errors before writing a single line of code.

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Connect Accessibility Prover MCP to AutoGen

Create your Vinkius account to connect Accessibility Prover to AutoGen 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 AutoGen

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Let AutoGen agents debate compliance issues

Acting as the ultimate arbiter in multi-agent discussions, the `validate_accessibility` tool from this MCP Server verifies every design proposal. When your design agent proposes a layout, your QA agent runs this validation tool to check for keyboard traps and contrast ratios. If the tool flags an issue, the QA agent presents the specific failure to the design agent. The agents then negotiate a fix, ensuring only fully compliant UI specifications reach your developers.

Automate keyboard and motion checks in group chats

By forcing agents to specify focus indicators, modal traps, and motion overrides, the `validate_accessibility` tool ensures complete compliance. Your AutoGen conversation loop won't terminate until these parameters meet WCAG 2.2 AA standards. This setup prevents lazy code generation. By injecting a strict MCP validator into the agent conversation, you eliminate manual accessibility reviews for complex components.

Audit ARIA annotations during agent collaboration

Analyzing form-label relationships and alt texts proposed by your content agents is the job of the `validate_accessibility` tool. When a mismatch is found, the tool rejects the layout and forces a collaborative rewrite. This collaborative debugging happens entirely in the background. Your team receives a polished, pre-audited UI component that already meets European Accessibility Act requirements.

Setup guide

Set up Accessibility Prover MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Accessibility Prover tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Accessibility Prover_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Accessibility Prover data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Accessibility Prover_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Accessibility Prover data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Accessibility 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 Accessibility Prover MCP in AutoGen

You use the autogen-ext[mcp] package to load the server tools. Pass the resulting tool list to your AssistantAgent constructor so any agent can trigger a check.

Yes, when the validation tool returns a failure, the coding agent reads the specific error message. It then adjusts the HTML landmarks or contrast ratios until the tool passes.

Yes, you can connect to the server using either transport method. Vinkius provides a secure HTTP endpoint that integrates with AutoGen's streamable params.

The tool analyzes the numerical contrast ratios of text and background colors. It requires a minimum ratio of 4.5:1 before approving any layout.

Your keyboard tab maps, modal focus traps, and motion media queries are analyzed in a transient memory block. The server processes these properties without writing them to persistent logs, keeping your intellectual property safe.

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