Kontak MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kontak through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Kontak, 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 Kontak MCP Server
Connect your AI agent to Kontak to automate your customer communications and message auditing.
The Vercel AI SDK gives every Kontak 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.
Key Features
- Unified Messaging history — List and audit all sent and received SMS and call logs
- Contact Management — Access and manage your Kontak address book via natural language
- Outbound SMS — Send text messages to customers directly from your chat client
- Template Access — Browse available message templates for consistent communication
- Audit & Analytics — Retrieve system logs and account metadata to monitor performance
Quick Setup
1. Subscribe to this server
2. Log in to your Kontak account, go to API Settings and generate a Bearer Token
3. Enter your token in the configuration panel
4. Start managing your communications via chat
The Kontak 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.
How to Connect Kontak to Vercel AI SDK via MCP
Follow these steps to integrate the Kontak MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Kontak and passes them to the LLM
Why Use Vercel AI SDK with the Kontak MCP Server
Vercel AI SDK provides unique advantages when paired with Kontak 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 Kontak integration everywhere
Built-in streaming UI primitives let you display Kontak 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
Kontak + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kontak MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kontak in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kontak tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kontak capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kontak through natural language queries
Kontak MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kontak to Vercel AI SDK via MCP:
get_contact_details
Get details for a specific contact
get_kontak_account_info
Get account settings and info
get_kontak_audit_logs
Retrieve system audit logs
get_message_details
Get details for a specific message
list_kontak_contacts
List all contacts
list_kontak_messages
List all sent and received messages
list_kontak_tags
List all contact tags
list_kontak_templates
List available message templates
list_kontak_webhooks
List configured webhooks
send_outbound_sms
Send a new SMS message
Example Prompts for Kontak in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kontak immediately.
"List the last 5 messages from my Kontak account"
"Send an SMS to +1987654321 saying 'Hello from AI'"
"Find contact named 'Robert'"
Troubleshooting Kontak MCP Server with Vercel AI SDK
Common issues when connecting Kontak to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKontak + Vercel AI SDK FAQ
Common questions about integrating Kontak 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.Connect Kontak with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kontak to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.