How to Use the Accessibility Checker MCP in Claude Code

Q: How do I connect the Accessibility Checker using Claude Code?

You use the claude mcp add command with your transport details. Once configured, you treat the MCP just like any other CLI tool for direct execution.

Run headless, reliable compliance audits using the Accessibility Checker in Claude Code.

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Connect Accessibility Checker MCP to Claude Code

Create your Vinkius account to connect Accessibility Checker to Claude Code — 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 Claude Code

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Running Compliance Audits with Claude Code

Since you're on the command line, you need direct output. You can run `check_corridor_and_passage` from a script and pipe the compliance status directly to a logging file. It gives violation details instantly. Similarly, you use `check_doorway` in your CI/CD pipeline to automate checks on entry points without needing a GUI.

Scripting Multi-Tool Compliance Checks

You can build shell scripts that chain multiple functions. For example, run `check_ramp_compliance` and then immediately follow up with `check_bathroom_spaciousness`. This handles the entire audit sequence. This is ideal for cron jobs or Docker containers where you need predictable, repeatable execution.

Validating Structural Requirements in Claude Code

You control the flow. Use `check_corridor_and_passage` to validate minimum clear width requirements programmatically. This ensures your build pipeline never approves a design that fails basic accessibility checks. It's headless, meaning you get clean JSON or text output ready for downstream tools.

Setup guide

Set up Accessibility Checker MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see accessibility-checker-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Accessibility Checker transactions." It will automatically discover and invoke the available Accessibility Checker tools.

Terminal

claude mcp add --transport http accessibility-checker-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Accessibility Checker MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "accessibility-checker-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Claude Code

You use the `claude mcp add` command with your transport details. Once configured, you treat the MCP just like any other CLI tool for direct execution.

Yes. Vinkius manages this MCP inside a secure, zero-trust proxy. Your credentials are used only in transit and never stored on disk for maximum security.

It processes raw dimensional measurements: corridor widths, ramp slopes, bathroom clearances, and doorway openings. The output is machine-readable compliance JSON.

Absolutely. It provides consistent, predictable output regardless of whether you run it on GitHub Actions or a local SSH session, making it perfect for automated pipelines.

While powerful, remember that if your blueprints are incomplete—say, missing utility line data—the conclusion might be wrong. Always treat the output as a strong validation point.

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