How to Use the MiiTel MCP in Mastra AI

Connect MiiTel Alternative to your Mastra AI workflows. Build resilient voice intelligence pipelines with automated retries.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect MiiTel MCP to Mastra AI

Create your Vinkius account to connect MiiTel to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup MiiTel with Mastra AI

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Automated voice intelligence workflows

Integrate `create_call_record` into your Mastra agent steps to automate data entry. If a request fails, the workflow engine handles the retry logic automatically. This ensures your voice intelligence pipeline stays consistent. You define the logic once, and the framework manages the execution flow.

Resilient queue orchestration

Use `create_queue` to kick off CSV exports within a complex agent workflow. It handles the state of your data exports so you don't have to write custom polling scripts. Monitor your progress with `list_queues` as a step in your agent task. It provides clear visibility into where your data sits in the pipeline.

Meeting record automation

Deploy `create_meeting_record` to turn raw transcripts into structured records. It fits perfectly into your multi-step agent actions. Your agents can now trigger record creation based on specific meeting outcomes. It removes the need for manual record management.

Setup guide

Set up MiiTel 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 MiiTel 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: "miitel-alternative-mcp-client",
  servers: {
    "miitel-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent MiiTel 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 MiiTel. 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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Real-time monitoring

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

Built-in savings

60%

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One

place for every integration

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Common questions about MiiTel MCP in Mastra AI

Add the server URL to your agent configuration. The framework automatically detects the tools, allowing you to include them in your workflow steps.

It does. You can wrap the tool calls in your workflow definitions to set up retries or conditional branching if an API call fails.

Absolutely. You can schedule a workflow that triggers the queue tools to generate reports and move the resulting files automatically.

The MCP Server validates your endpoint token before executing any tool. You manage these credentials centrally within your Mastra configuration.

The server processes only the metadata you provide. We do not store your call transcripts or sensitive audio, ensuring your data remains in your control.

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