Daktela MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Contact, Create Ticket, Get Me, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Daktela 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 Daktela 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 Daktela, 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 Daktela MCP Server
Connect your Daktela omnichannel contact center to any AI agent and simplify how you coordinate customer support, track communication history, and manage CRM records through natural conversation.
The Vercel AI SDK gives every Daktela 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
- Ticket Lifecycle — Create, list, and query support tickets and cases to ensure customer issues are resolved promptly.
- Omnichannel Activities — Monitor real-time and past activities across calls, emails, and chats within your center.
- CRM Control — List and create contacts and accounts (companies) to maintain an organized customer directory.
- Call & Email History — Retrieve detailed logs of past phone interactions and email threads for audit and reporting.
- Team & Queue Coordination — List configured queues and system users to manage agent distribution effectively.
- Profile Oversight — Fetch your authenticated user profile and verify system configurations directly from the agent.
The Daktela 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 Daktela tools available for Vercel AI SDK
When Vercel AI SDK connects to Daktela through Vinkius, your AI agent gets direct access to every tool listed below — spanning omnichannel, contact-center, voip, 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 CRM contact
Create a new ticket
Get current user information
Get details of a specific ticket
List CRM accounts
List recent activities in Daktela
List call history
List CRM contacts
List email history
List contact center queues
List support tickets
List Daktela users
Connect Daktela to Vercel AI SDK via MCP
Follow these steps to wire Daktela 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 Daktela MCP Server
Vercel AI SDK provides unique advantages when paired with Daktela 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 Daktela integration everywhere
Built-in streaming UI primitives let you display Daktela 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
Daktela + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Daktela MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Daktela in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Daktela tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Daktela capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Daktela through natural language queries
Example Prompts for Daktela in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Daktela immediately.
"List all active activities in the contact center."
"Create a support ticket: 'Login issue' for contact 'cont_10293'."
"Show me the email history for contact 'cont_5521'."
Troubleshooting Daktela MCP Server with Vercel AI SDK
Common issues when connecting Daktela to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDaktela + Vercel AI SDK FAQ
Common questions about integrating Daktela 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.