Model Context Protocol · Now Available

Ask your Scanlayer workspace anything

Connect Claude, ChatGPT, Gemini, or any MCP-compatible assistant to Scanlayer and get instant answers from your live QR, NFC, template, placement, and customer interaction data.

Connect MCP View documentation
Claude ChatGPT Gemini MCP Compatible Live Scan Data
No lock-in

Not our AI.
Yours.

Scanlayer does not lock you into a single built-in chatbot. Instead, Scanlayer provides an MCP connection so the AI assistant you already use can securely understand and interact with your Scanlayer workspace.

🔒 Secure connection 📡 Live data, not exports 🔧 Workspace scoped 🚫 No vendor lock-in

Bring your own AI

Use Claude, ChatGPT, Gemini, or another MCP-compatible client. Switch anytime without moving your data.

Built on MCP

Model Context Protocol is an open standard for connecting AI tools to live product data and actions.

Live workspace data

Your AI can answer using current Scanlayer data, not outdated exports or manual reports.

Scoped to your workspace

Every AI connection is tied to your Scanlayer account, workspace, role, and permissions.

How it works

Three steps to your Scanlayer copilot

Connect once, then ask questions naturally. Your AI client communicates with Scanlayer's secure MCP server on your behalf.

1

Connect your AI

Add the Scanlayer MCP server to Claude, ChatGPT, Gemini, or another compatible client in your connector settings.

2

Authorize your account

Authenticate with your Scanlayer API token from Settings → API & MCP. Workspace analytics tools require a Business plan.

3

Ask in plain language

Ask questions about QR scans, NFC interactions, menus, appointments, events, feedback, and campaigns — no SQL, no exports.

What you can ask

Your Scanlayer data,
one question away

Which QR placements had the most scans this week?

Scan analytics, placements, and campaign performance.

Analytics

Which menu items are getting the most attention?

Menu views, item engagement, and customer behavior.

Menu

Show me appointment leads from the last 7 days.

Appointment submissions, customer details, and service interest.

Appointments

Which event page generated the most registrations?

Event scans, visitor activity, and form submissions.

Events

Summarize new feedback from customers.

Feedback form answers, ratings, and comments.

Feedback

Which smart links are underperforming?

Smart link engagement, traffic sources, and conversion trends.

Smart Links

Show lost-and-found notifications from this month.

Lost item scans, finder messages, and location activity.

Lost & Found

Which customers should I follow up with?

Subscribers, contact captures, appointment leads, and campaign opportunities.

CRM
Setup

Connect in a couple of minutes

Use the Scanlayer MCP server URL below in your preferred AI client and authenticate with your API token.

MCP Server URL
https://scanlayer.io/api/mcp
Claude.ai and ChatGPT use OAuth — click Connect and sign in with your Scanlayer account. For Cursor, Claude CLI, or direct HTTP, create a personal access token in Settings → API & MCP and pass Authorization: Bearer {token}.

Manage API tokens in settings

Claude Desktop or Claude.ai MCP
1
Open Settings in Claude Desktop or Claude.ai.
2
Go to Connectors or MCP Servers.
3
Choose Add custom connector.
4
Paste the Scanlayer MCP Server URL shown on the left.
5
Name it Scanlayer and click Connect.
6
Sign in with your Scanlayer account when the OAuth consent screen appears.
7
Start a new chat and ask questions about your Scanlayer workspace.
💡 MCP connector UI may vary depending on your Claude version. Use the MCP URL above in any “custom connector” or “remote MCP server” field.
ChatGPT with MCP connector MCP
1
Open ChatGPT and go to Settings → Connectors.
2
Select Add a custom MCP connector (available in Pro and Team plans).
3
Paste the Scanlayer MCP Server URL into the server URL field.
4
Click Connect and sign in with your Scanlayer account (OAuth).
5
Start asking questions from your live Scanlayer workspace data.
💡 MCP connector availability depends on your ChatGPT plan. Check OpenAI's current feature list if the connector option is not visible.
Gemini with MCP support MCP
1
Open your Gemini MCP configuration or extensions panel.
2
Add Scanlayer as a new MCP server.
3
Paste the Scanlayer MCP Server URL into the server field.
4
Supply your API token in the Authorization header.
5
Ask questions about scans, placements, templates, and customers.
💡 Gemini MCP support details may evolve. Refer to Google's latest Gemini documentation for the most current connector setup flow.
Cursor IDE or Claude CLI CLI
1
Open your terminal or Cursor's MCP settings panel.
2
Run the following command to register the Scanlayer MCP server:
claude mcp add --transport http scanlayer https://scanlayer.io/api/mcp
3
Add your Scanlayer API token to the MCP client authorization config when prompted.
4
In Cursor, go to Settings → MCP and verify the Scanlayer server is listed and active.
💡 Exact CLI flags may differ by version. Use claude mcp --help or check the Anthropic docs if the command above needs updating.
Direct MCP API access HTTP
1
The Scanlayer MCP server accepts standard MCP-over-HTTP requests.
2
Authenticate with a Bearer token from Settings → API & MCP.
3
Use the token to make authenticated MCP tool calls against your workspace data.
POST https://scanlayer.io/api/mcp
Authorization: Bearer {your_token}
Content-Type: application/json

{
  "method": "tools/call",
  "params": {
    "name": "list_smart_links",
    "arguments": {}
  }
}
💡 Workspace analytics tools require Business plan API access. Public product and template tools work without authentication.
Security

Connected only to your account

Your AI assistant does not receive unrestricted access to Scanlayer. Every request is authenticated, scoped, and permission-aware.

Workspace-level access

Your AI only accesses Scanlayer workspaces you belong to. Other workspaces remain completely isolated.

Role-based permissions

The AI connection follows the same permissions you already have inside Scanlayer. No elevated access is granted.

Bearer token authentication

Connections use Sanctum API tokens from your account — not shared passwords embedded in connector configs.

Revoke anytime

Delete tokens from Settings → API & MCP to disconnect any AI client immediately.

Your data stays yours. Scanlayer's MCP connection is scoped, authenticated, and logged. Your AI assistant can only read and act on what your account already has permission to access.

Use cases

Built for teams that run QR, NFC,
and smart link experiences

Restaurants & Cafes

Ask about menu scans, table QR performance, customer requests, popular items, and campaign engagement.

Events

Analyze registrations, guest activity, QR scans, page visits, and post-event feedback.

Service Businesses

Review appointment requests, customer follow-ups, reminders, and lead activity.

Brands & Agencies

Compare campaign placements, smart link performance, QR/NFC engagement, and audience behavior.

Lost & Found

Summarize scan activity, finder messages, location updates, and owner notifications.

Ready to connect

Give your AI a
Scanlayer brain

Connect your AI assistant to Scanlayer and start asking smarter questions about your QR, NFC, template, customer, and campaign data.

Connect MCP Create free account Talk to sales
OAuth for Claude.ai & ChatGPT API tokens for CLI & HTTP Workspace scoped & secure Revoke access anytime

Scanlayer exposes an MCP server at /api/mcp for Claude, ChatGPT, and Gemini. Public tools summarize the product and templates; authenticated tools return live workspace smart links and placement analytics. Scanlayer is a Physical Engagement Intelligence Platform for QR and NFC placement tracking.