How to Use the Accessibility Checker MCP in CrewAI

Run autonomous compliance operations with CrewAI and the Accessibility Checker MCP Server.

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Connect Accessibility Checker MCP to CrewAI

Create your Vinkius account to connect Accessibility Checker to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Accessibility Checker with CrewAI

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Autonomous Compliance Audits with CrewAI

You build a crew of specialized agents to handle complex audits. One agent can run `check_corridor_and_passage` across multiple paths while another focuses solely on verifying entry points using `check_doorway`. The overall operation is autonomous, running the full checklist without human intervention. The process models a real-world inspection team: one specialized agent handles ramp analysis (`check_ramp_compliance`), and another confirms bathroom clearances (`check_bathroom_spaciousness`).

Role-Based Specialized Checking with CrewAI

The MCP Server enables role separation. You assign one agent the task of validating general structural compliance, running `check_corridor_and_passage`. A second agent specializes in restrooms and must execute `check_bathroom_spaciousness`. The crew can then pass the results to a third 'Reporting' agent which compiles everything into a final report showing all necessary fixes.

Managing Complex Dimensional Checks with CrewAI

Need to check if a structure meets minimum standards? The MCP handles this. You can assign one tool, `check_doorway`, to verify entry points and another, `check_ramp_compliance`, to assess slopes. These specialized tools work together seamlessly within the crew's memory. This approach ensures that every dimension—from passage width to landing size—is covered by a dedicated agent for maximum rigor.

Setup guide

Set up Accessibility Checker 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 Checker tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Accessibility Checker 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 Checker. 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 Checker MCP in CrewAI

You set up agents with specialized roles. One agent runs the full suite of checks, like `check_corridor_and_passage`, while a monitoring agent watches for failures and triggers necessary retries.

Yes. The MCP is designed to assess compliance against major international guidelines, covering both USA and EU requirements across all its tools.

It processes dimensional measurements, including minimum clear widths (doorways/corridors), maximum slopes, and required turning radii in bathrooms. This is structured technical data.

Absolutely. The crew can be programmed to detect failure from any tool call and execute corrective action or notify an escalation agent, ensuring no gap remains unchecked.

It processes building dimensional measurements defined in blueprints, specifically focusing on widths for passages and openings, and gradient ratios for ramps.

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