Polaria MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Chat Message, Create Contact, Get Contact, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Polaria 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 Polaria app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 8 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 Polaria, 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 Polaria MCP Server
Transform your customer support operations by connecting Polaria directly to your AI agent. Let your assistant automatically retrieve relevant help articles, instantly respond to customer conversations, and efficiently manage your user directory without navigating away from your central workspace.
The Vercel AI SDK gives every Polaria tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Access and organize your entire customer contact database
- Read and respond to live chat conversations instantly
- Update the status of support tickets (Open, Pending, Resolved)
- Retrieve FAQ articles to resolve customer inquiries faster
- Manage custom attributes for targeted support
Who is it for?
Ideal for customer success teams, support agents, and community managers who want to resolve user queries faster and automate repetitive chat tasks.The Polaria MCP Server exposes 8 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 8 Polaria tools available for Vercel AI SDK
When Vercel AI SDK connects to Polaria through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, conversational-ai, faq-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 a message to a conversation
Create a new contact in Polaria
Get details of a specific contact
Get details of a specific conversation
List contacts in Polaria
List conversations in Polaria
List FAQs in Polaria
List Polaria widgets
Connect Polaria to Vercel AI SDK via MCP
Follow these steps to wire Polaria 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 Polaria MCP Server
Vercel AI SDK provides unique advantages when paired with Polaria 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 Polaria integration everywhere
Built-in streaming UI primitives let you display Polaria 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
Polaria + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Polaria MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Polaria in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Polaria tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Polaria capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Polaria through natural language queries
Example Prompts for Polaria in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Polaria immediately.
"List all contacts in Polaria."
"Show recent chat conversations."
"Add a reply message to conversation 'C123'."
Troubleshooting Polaria MCP Server with Vercel AI SDK
Common issues when connecting Polaria to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPolaria + Vercel AI SDK FAQ
Common questions about integrating Polaria 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.