Mio MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Webhook, Delete Webhook, Get Account Info, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mio 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 Mio app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Mio, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Mio MCP Server
Connect your Mio account to any AI agent and manage automated phone calls through natural conversation.
The Vercel AI SDK gives every Mio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Outbound Calls — Start AI-powered phone calls with custom scripts and instructions
- Call Logs — Browse call history with status, duration, and outcomes
- Transcripts — Retrieve full text transcriptions of completed calls
- AI Summaries — Get AI-generated summaries and extracted data from calls
- Voice Selection — Choose from multiple neural voices for the AI agent
- Webhooks — Configure event notifications for call status changes
- Call Control — Terminate active calls in real time
- Account — Check credit balance and account information
The Mio MCP Server exposes 12 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 12 Mio tools available for Vercel AI SDK
When Vercel AI SDK connects to Mio through Vinkius, your AI agent gets direct access to every tool listed below — spanning interoperability, outbound-calling, call-automation, 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.
Add new notification
Remove a webhook
Get user profile
Get specific call info
Get AI call summary
Get call text log
Check account funds
List AI voices
List all call logs
Get active webhooks
Start an AI phone call
Stop active call
Connect Mio to Vercel AI SDK via MCP
Follow these steps to wire Mio into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Mio MCP Server
Vercel AI SDK provides unique advantages when paired with Mio through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Mio integration everywhere
Built-in streaming UI primitives let you display Mio tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Mio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mio through natural language queries
Example Prompts for Mio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mio immediately.
"Start an AI call to confirm tomorrow's appointment with Sarah."
"Get the transcript and summary for call_890."
"Show available AI voices and my credit balance."
Troubleshooting Mio MCP Server with Vercel AI SDK
Common issues when connecting Mio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMio + Vercel AI SDK FAQ
Common questions about integrating Mio MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.