How to Use the WCAG.com Accessibility MCP in CrewAI

Q: How does WCAG.com Accessibility function with CrewAI?

You define roles: one agent runs the audit using auditurlaccessibility, and another acts as a monitor to watch for failure states or necessary escalations.

Q: Can I use WCAG.com Accessibility tools within a multi-agent pipeline with CrewAI?

Yes. You pass the URL to Agent A, which runs auditurlaccessibility. Agent B then takes that raw report and writes the final findings.

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Connect WCAG.com Accessibility MCP to CrewAI

Create your Vinkius account to connect WCAG.com Accessibility to CrewAI 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 CrewAI

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Multi-Agent URL Auditing

You can assign the `audit_url_accessibility` tool to a specialized 'Auditor Agent'. This agent checks compliance, and then a separate 'Reviewer Agent' takes that raw output and summarizes it into actionable fixes.

Researching WCAG Guidelines with Agents

Send the `get_wcag_guideline_details` tool to a dedicated 'Researcher Agent'. This agent pulls detailed metadata for specific rules and compiles it into a structured report that your final output can use.

Compiling Full Rule Sets

Use `list_accessibility_rules` to give an 'Administrator Agent' the full scope of the WCAG engine. This agent aggregates all rules, allowing you to monitor or filter them before they are applied in a pipeline.

Setup guide

Set up WCAG.com Accessibility MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke WCAG.com Accessibility tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="WCAG.com Accessibility Analyst",
    goal="Access and analyze WCAG.com Accessibility data via MCP.",
    backstory="Expert analyst with direct WCAG.com Accessibility access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent WCAG.com Accessibility transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="WCAG.com Accessibility Analyst",
        goal="Access and analyze WCAG.com Accessibility data via MCP.",
        backstory="Expert analyst with direct WCAG.com Accessibility access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent WCAG.com Accessibility transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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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 CrewAI

You define roles: one agent runs the audit using `audit_url_accessibility`, and another acts as a monitor to watch for failure states or necessary escalations.

It's ideal because you can set up an autonomous crew. One agent researches the rules, another runs the checks, and a third documents the findings—all without human intervention.

This server handles URLs. The agents only process web addresses provided for auditing purposes. No other type of sensitive client data is involved.

Yes. You pass the URL to Agent A, which runs `audit_url_accessibility`. Agent B then takes that raw report and writes the final findings.

The system is designed for highly specialized, non-human intervention operations. The tool supports full adherence to accessibility standards during autonomous execution.

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