How to Use the AI Receptionist MCP in Mastra AI

Q: How do I monitor live AI Receptionist calls inside Mastra AI?

You can write a workflow that regularly polls listaireceptionistconversations. If a call goes off track, Mastra can route the transcript to a human supervisor for immediate intervention.

Q: How does Mastra AI protect the privacy of my AI Receptionist conversation transcripts?

Transcripts fetched via getaireceptionistconversation are processed in memory and never stored on the Vinkius platform. All data passing through the MCP Server is encrypted in transit and isolated at the runtime level.

Build resilient, self-healing phone booking workflows using Mastra AI to handle callers when APIs fail.

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Connect AI Receptionist MCP to Mastra AI

Create your Vinkius account to connect AI Receptionist to Mastra AI 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 Mastra AI

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Build self-healing workflows with Mastra AI

The `create_aireceptionist_booking` tool handles appointment creation within your automated Mastra workflows. With this MCP Server, you can build a workflow that attempts the booking, and if the external system fails, Mastra automatically retries with exponential backoff. Your callers get a confirmed slot without you writing manual retry loops. You can chain actions together based on the result of `get_aireceptionist_booking` to update your internal CRM.

Require human approval for critical bookings

The `create_aireceptionist_conversation` tool initiates new caller logs that you can pause for manual verification. Use requireToolApproval to pause the workflow when a conversation triggers, letting a team member review the conversation before it proceeds. This keeps your operations safe while maintaining speed. If approved, the agent automatically resumes and uses `list_aireceptionist_conversations` to sync the updated notes back to your primary database.

Sync caller analytics across systems

The `get_aireceptionist_analytics` tool fetches daily performance stats to route through your Mastra step engine. Keep your business metrics accurate by routing receptionist data directly to your dashboard. If a webhook fails to trigger, the workflow catches the error instantly. You can inspect `list_aireceptionist_webhooks` to verify the active endpoints and automatically re-route the payloads to backup systems.

Setup guide

Set up AI Receptionist MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All AI Receptionist tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ai-receptionist-mcp-client",
  servers: {
    "ai-receptionist-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AI Receptionist Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AI Receptionist tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AI Receptionist transactions"
);
console.log(result.text);

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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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AI Receptionist MCP in Mastra AI

Install the package with npm install @mastra/mcp@latest. Instantiate the client, then call mcpClient.listTools() to spread the MCP tools directly into your Mastra agent definition.

Yes, Mastra's built-in workflow engine handles this natively. If create_aireceptionist_booking fails due to a network glitch, the agent retries the call using backoff rules you define.

You can write a workflow that regularly polls list_aireceptionist_conversations. If a call goes off track, Mastra can route the transcript to a human supervisor for immediate intervention.

No, the client automatically detects whether to use SSE or Streamable HTTP. Just point your configuration to the Vinkius MCP endpoint and start calling tools.

Transcripts fetched via get_aireceptionist_conversation are processed in memory and never stored on the Vinkius platform. All data passing through the MCP Server is encrypted in transit and isolated at the runtime level.

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