How to Use the AI Receptionist MCP in Cline

Q: Does AI Receptionist let Cline read my call transcripts?

Your agent can pull specific chat or voice logs using getaireceptionistconversation. It uses these transcripts to build realistic mock data for your front-end components.

Build custom telephony dashboards in VS Code by connecting Cline to your AI Receptionist data.

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Connect AI Receptionist MCP to Cline

Create your Vinkius account to connect AI Receptionist to Cline 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 AI Receptionist with Cline

Ask AI about this MCP

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Claude

Perplexity

Scaffold Call Dashboards Fast

Cline reads your live call volume through the AI Receptionist MCP Server and writes the exact React components needed to display it. You prompt the agent to build a metrics view, and it hits `get_aireceptionist_analytics` to understand the data structure before writing a single line of code. Instead of guessing the API schema, your agent fetches real examples of active calls using `list_aireceptionist_conversations`. It then generates the TypeScript interfaces, maps the props, and renders a working dashboard right inside your VS Code workspace.

Programmatic Appointment Syncing

Writing scheduling logic usually requires digging through documentation. Cline skips that by executing `list_aireceptionist_bookings` to see exactly how your calendar events are formatted in production. When you need a script to migrate those appointments, the agent writes the migration tool and tests it live. It triggers `create_aireceptionist_booking` with dummy data, verifies the payload structure, and commits the finished integration to your repository.

Map Telephony Events to Code via MCP

Routing inbound call data to your backend becomes a hands-off task. Cline runs `list_aireceptionist_webhooks` to grab the exact URLs currently receiving conversation payloads from your voice agents. The agent compares those active endpoints against your Express or FastAPI routes. If a webhook points to a missing handler, it automatically generates the missing controller function and stages the fix for you to review.

Setup guide

Set up AI Receptionist MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type ai-receptionist-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest AI Receptionist refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "ai-receptionist-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AI Receptionist. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AI Receptionist MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. You can use the Remote Servers tab to add the Vinkius URL via Streamable HTTP transport, or edit cline_mcp_settings.json directly.

The agent executes actual commands against the Vinkius endpoint. It will run `create_aireceptionist_booking` to verify your integration logic works before writing the final test assertions.

Your agent can pull specific chat or voice logs using `get_aireceptionist_conversation`. It uses these transcripts to build realistic mock data for your front-end components.

It replaces static documentation with live execution. Your agent interacts with real knowledge base articles and webhook configs to write code that actually matches your production environment.

Vinkius manages the authentication layer so you only provide one endpoint token. Your raw customer phone numbers, names, and appointment notes remain isolated in ephemeral sandboxes that destroy themselves after execution.

Use it with your favorite AI tools

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