How to Use the WCAG.com Accessibility MCP in AutoGen

Q: Does WCAG.com Accessibility require specific setup for AutoGen?

You use pip install -U "autogen-extmcp" to get the necessary tools. The adapter handles schema conversion, letting you pass the MCP Server's functions directly to your agents.

Facilitate consensus on web compliance standards with AutoGen and WCAG.com Accessibility.

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Connect WCAG.com Accessibility MCP to AutoGen

Create your Vinkius account to connect WCAG.com Accessibility 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 WCAG.com Accessibility with AutoGen

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Debating Audit Results with the MCP Server

Set up a debate between two agents: one runs `audit_url_accessibility`, and another reviews the output against detailed guidelines using `get_wcag_guideline_details`. They can argue about whether a finding is critical or minor. This consensus-driven approach helps you build systems where compliance isn't obvious and requires deliberation between competing perspectives.

Multi-Agent WCAG Rule Verification

Use the `list_accessibility_rules` tool as a shared source of truth. You can assign one agent to verify that all rules are listed, while another debates which subset is most relevant for a given URL. This negotiation capability ensures that multiple perspectives—security, performance, accessibility—review the same data simultaneously.

Checking WCAG Service Health in Debate

Before agents start debating compliance issues, have one agent call `check_api_status`. This initial check confirms the service is up and running, preventing a whole round of debate over failed tool execution. The result acts as a gatekeeper, ensuring that critical discussions only happen when the underlying tools are validated.

Setup guide

Set up WCAG.com Accessibility 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 WCAG.com Accessibility 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="WCAG.com Accessibility_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent WCAG.com Accessibility 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="WCAG.com Accessibility_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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

You pass the MCP Server's tool list to your AssistantAgent constructor. This lets multiple agents debate and challenge each other’s conclusions based on real-time accessibility data.

Yes. You can design a system where one agent runs the audit, another critiques the results using guideline details, and a third determines the final risk level based on consensus.

The tool outputs—like rules lists or audit results—become points of contention. Agents discuss, challenge, and ultimately converge on a decision regarding compliance.

This server touches URLs for audits, guidelines metadata, and lists of accessibility rules. All these structured inputs fuel the multi-agent debate.

You use `pip install -U "autogen-ext[mcp]"` to get the necessary tools. The adapter handles schema conversion, letting you pass the MCP Server's functions directly to your agents.

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