Toky MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Contact, Get Agent, Get Call, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Toky 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 Toky app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 10 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 Toky, 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 Toky MCP Server
Connect your Toky cloud phone system account to any AI agent and simplify how you manage your business communications, call logs, and SMS outreach through natural conversation.
The Vercel AI SDK gives every Toky tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Management — List and search call history, retrieve detailed metadata, and monitor recent voicemails.
- SMS Automation — Send individual text messages to customers and leads directly via AI commands.
- Contact Oversight — List, create, and manage your phone directory to keep customer data synchronized.
- Team Coordination — Query agent lists and retrieve detailed profiles for your communication team.
- Operational Status — Fetch detailed metadata for specific calls or voicemails to understand interaction context.
- Communication Visibility — Monitor your cloud telephony activities directly from the agent.
The Toky MCP Server exposes 10 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 10 Toky tools available for Vercel AI SDK
When Vercel AI SDK connects to Toky through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-phone, call-recording, ivr, 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.
Create a new Toky contact
Get details for a specific Toky agent
Get details for a specific Toky call
Get details for a specific Toky contact
Get details for a specific Toky voicemail
Use limit and offset for pagination. List Toky agents
Use limit and offset for pagination. List Toky calls
Use limit and offset for pagination. List Toky contacts
Use limit and offset for pagination. List Toky voicemails
Send an SMS via Toky
Connect Toky to Vercel AI SDK via MCP
Follow these steps to wire Toky 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 Toky MCP Server
Vercel AI SDK provides unique advantages when paired with Toky 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 Toky integration everywhere
Built-in streaming UI primitives let you display Toky 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
Toky + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Toky MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Toky in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Toky tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Toky capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Toky through natural language queries
Example Prompts for Toky in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Toky immediately.
"List all active agents in my Toky account."
"Show me the last 3 calls from today."
"Send an SMS to 5511999999999 saying 'Your consultation is confirmed for tomorrow'."
Troubleshooting Toky MCP Server with Vercel AI SDK
Common issues when connecting Toky to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpToky + Vercel AI SDK FAQ
Common questions about integrating Toky 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.