Authkey MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Check Authkey Status, Check Balance, Get Email Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Authkey 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 Authkey app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 13 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 Authkey, 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 Authkey MCP Server
Connect your Authkey.io account to any AI agent and take full control of your multi-channel communication and automated notification workflows through natural conversation.
The Vercel AI SDK gives every Authkey tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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
- Multichannel Messaging Orchestration — Instantly dispatch high-fidelity SMS, transactional emails, and voice alerts to customers worldwide using a single unified interface
- Security & OTP Intelligence — Programmatically send and verify One-Time Passwords (OTPs) to build secure authentication and 2FA flows directly through your agent
- Voice Automation Architecture — Initiate automated voice calls with high-fidelity Text-to-Speech (TTS) or pre-defined templates for critical security alerts
- Template Management — Access and monitor your complete directory of communication templates (SMS/Email) to ensure perfectly coordinated brand messaging
- Financial Visibility Monitoring — Access real-time balance data across all channels (SMS, Voice, Email) directly through your agent for instant operational reporting
The Authkey MCP Server exposes 13 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 13 Authkey tools available for Vercel AI SDK
When Vercel AI SDK connects to Authkey through Vinkius, your AI agent gets direct access to every tool listed below — spanning cpaas, otp-verification, transactional-email, 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.
Verify connectivity
Check balance
Get email status
Get SMS status
Get voice call status
List SMS history
List templates
Send bulk SMS
Send an email
Send OTP
Send an SMS
Send a voice call
Verify OTP
Connect Authkey to Vercel AI SDK via MCP
Follow these steps to wire Authkey 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 Authkey MCP Server
Vercel AI SDK provides unique advantages when paired with Authkey 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 Authkey integration everywhere
Built-in streaming UI primitives let you display Authkey 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
Authkey + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Authkey MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Authkey in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Authkey tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Authkey capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Authkey through natural language queries
Example Prompts for Authkey in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Authkey immediately.
"Send a security OTP to '+123456789' using template ID '101'."
"Verify OTP code '5566' for Log ID 'auth_992'."
"What is my current Authkey account balance across all channels?"
Troubleshooting Authkey MCP Server with Vercel AI SDK
Common issues when connecting Authkey to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAuthkey + Vercel AI SDK FAQ
Common questions about integrating Authkey 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.