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MiiTel MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Call Details, Get Meeting Details, List Calls, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MiiTel through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The MiiTel app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using MiiTel, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MiiTel
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About MiiTel MCP Server

Connect your MiiTel account to any AI agent and manage AI-powered speech analysis and call data through natural conversation.

The Vercel AI SDK gives every MiiTel tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Call Transcripts — Access full text transcriptions of sales and support calls
  • Speech Analytics — Analyze talk ratio, speech rate, overlaps, and silence
  • Recordings — Retrieve call recording metadata and audio links
  • Agent Performance — Monitor call volume, duration, and conversion rates
  • Emotion Analysis — Track sentiment and energy levels during conversations

The MiiTel MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 MiiTel tools available for Vercel AI SDK

When Vercel AI SDK connects to MiiTel through Vinkius, your AI agent gets direct access to every tool listed below — spanning call-transcription, speech-analytics, sentiment-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_call_details

Get details for a specific call

get_meeting_details

Get details for a specific meeting

list_calls

List MiiTel call history

list_miitel_users

List MiiTel account users

list_online_meetings

List online meeting history

list_synced_contacts

List CRM contacts

Connect MiiTel to Vercel AI SDK via MCP

Follow these steps to wire MiiTel into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from MiiTel and passes them to the LLM

Why Use Vercel AI SDK with the MiiTel MCP Server

Vercel AI SDK provides unique advantages when paired with MiiTel through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MiiTel integration everywhere

03

Built-in streaming UI primitives let you display MiiTel tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

MiiTel + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the MiiTel MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query MiiTel in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate MiiTel tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed MiiTel capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with MiiTel through natural language queries

Example Prompts for MiiTel in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MiiTel immediately.

01

"Show speech analytics for Mike's latest sales call."

02

"Get the transcript summary for call call_890."

03

"Show today's call volume and team performance."

Troubleshooting MiiTel MCP Server with Vercel AI SDK

Common issues when connecting MiiTel to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MiiTel + Vercel AI SDK FAQ

Common questions about integrating MiiTel MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.