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Vinkius runs on Google ADK

How to Use the Accessibility Checker MCP in Google ADK

Designed for Google ADK: Verify universal accessibility standards against BigQuery data streams.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect Accessibility Checker MCP to Google ADK

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

GDPR Included with Plan

Key Capabilities

Validate Ramp Compliance

The `check_ramp_compliance` tool determines if a ramp section meets both the maximum allowable slope and if all required transition landings exist. It gives you specific measurements of how far the run is versus how high it climbs, flagging any deviation immediately. Knowing the exact gradient prevents major failures. This function is essential for ensuring that ramps are safe to use year-round.

Verify Passageway Widths

Need to verify if a corridor or passage meets minimum clear width? The `check_corridor_and_passage` tool returns compliance status and violation specifics. It cross-references your measurements against both USA and EU standards, pinpointing exact dimensional gaps. This gives you the precise failure point—whether it's too narrow for a stretcher or just barely under code.

Confirm Bathroom Functionality

The `check_bathroom_spaciousness` tool confirms if a bathroom provides adequate functional space for mobility aid maneuverability. It checks the room's layout against mandated standards, confirming enough turning radius is present. It’s more than just checking size; it verifies that the actual floorplan allows for safe movement in all directions.

Setup guide

Set up Accessibility Checker MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Accessibility Checker tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Accessibility Checker_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Accessibility Checker tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

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Common questions about Accessibility Checker MCP in Google ADK

Since this MCP runs on Vinkius, your agent treats it like any other data source. It accesses the toolset via HTTP and can incorporate its findings into long-context reasoning within BigQuery.
Yes. We have a dedicated checker that uses `check_doorway` to verify if an entry point has the sufficient clear opening width for mobility aid users, confirming proper clearance dimensions.
The server handles dimensional metrics. It reads measurements concerning widths, slopes, and clearances across structural elements like corridors and ramps.
Yes. Your agent uses the standardized toolset connection. The MCP is designed to receive input data (like blueprints) and return structured, verifiable compliance data.
You can call the tools sequentially within your agent's workflow. This lets you run a ramp check, then follow up with a passage width check, all in one process.

Start using the Accessibility Checker MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Accessibility Checker. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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