How to Use the Accessibility Prover MCP in CrewAI

Q: How does Accessibility Prover fit into a CrewAI multi-agent team?

You assign the validateaccessibility tool to a specialized QA agent in your crew. This agent intercepts the code generated by your developer agent and runs the WCAG check. If the MCP Server rejects the design, the QA agent coordinates with the developer to fix the focus paths.

Assign WCAG compliance to a dedicated QA agent in your CrewAI team and block inaccessible code before it ships.

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Connect Accessibility Prover MCP to CrewAI

Create your Vinkius account to connect Accessibility Prover 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 Accessibility Prover with CrewAI

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Let a specialized CrewAI agent enforce WCAG standards

In a multi-agent team, you don't want your writer or developer agent guessing if their UI is accessible. You can spin up a dedicated QA agent in CrewAI and equip it with the `validate_accessibility` tool. This agent's sole job is to audit the code generated by other agents before any work is finalized. The QA agent runs the code through the MCP Server to check keyboard tab orders, modal traps, and contrast ratios. If the tool finds a violation, the QA agent sends the code back to the developer agent with explicit instructions. This peer-review loop happens completely autonomously inside your crew.

Multi-agent collaboration for complex ARIA mapping

Mapping out complex ARIA annotations and semantic landmarks requires deep contextual understanding. With CrewAI, your research agent can gather the component requirements while your developer agent writes the HTML. The QA agent then invokes `validate_accessibility` to ensure all form-label relationships are explicit and alt texts are meaningful. This division of labor prevents a single agent from getting overwhelmed by complex WCAG 2.2 rules. The shared memory of the crew ensures that once an accessibility bug is fixed, the lesson is carried over to the next component. You get cleaner code and faster execution across your entire pipeline.

Automated EAA 2025 audits for enterprise pipelines

Enterprise software must comply with strict European accessibility laws, and manual audits are too slow. By adding this MCP Server to your CrewAI team, you automate the compliance check. The crew can process hundreds of UI views sequentially, checking contrast ratios and motion overrides without human fatigue. The tool rejects any component containing layout barriers, forcing the crew to resolve issues before outputting the final build files. This guarantees that your automated design pipelines always produce compliant, production-ready code that passes legal requirements.

Setup guide

Set up Accessibility Prover 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 Accessibility Prover tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Accessibility Prover 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="Accessibility Prover Analyst",
        goal="Access and analyze Accessibility Prover data via MCP.",
        backstory="Expert analyst with direct Accessibility Prover access.",
        tools=mcp_tools,
    )

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

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

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 CrewAI

You assign the `validate_accessibility` tool to a specialized QA agent in your crew. This agent intercepts the code generated by your developer agent and runs the WCAG check. If the MCP Server rejects the design, the QA agent coordinates with the developer to fix the focus paths.

Yes, CrewAI allows selective tool exposure using a tool filter. You can configure your crew so only the designated compliance agent can call the MCP Server. This keeps your other agents focused on writing content or styling without getting bogged down by validation logs.

Yes, in a hierarchical setup, the manager agent can route the generated UI code to the QA agent for validation. The QA agent uses the tool to check for 4.5:1 contrast ratios and modal traps. If the check fails, the manager agent orders the developer agent to rewrite the CSS.

You can pass the Vinkius MCP Server HTTP endpoint directly into your Agent's `mcps` configuration list. For more control, use the `MCPServerHTTP` class from the CrewAI library. Vinkius handles the underlying transport and authentication, giving your agents instant access.

The server only inspects the specific HTML landmarks, ARIA labels, and CSS motion overrides passed to the `validate_accessibility` tool. This payload is processed in an ephemeral sandbox hosted by Vinkius. No data is stored or used for training, keeping your proprietary UI code private.

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