3,400+ MCP servers ready to use
Vinkius

Bring Contact Management
to Vercel AI SDK

Learn how to connect Polaria to Vercel AI SDK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Add Chat MessageCreate ContactGet ContactGet ConversationList ContactsList ConversationsList FaqsList Widgets

What is the 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.

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

How it works

1. Log into your Polaria dashboard 2. Create a new app under Settings > Marketplace to get your Secret Key 3. Connect via Vinkius to unleash AI-powered conversational 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.

Built-in capabilities (8)

add_chat_message

Add a message to a conversation

create_contact

Create a new contact in Polaria

get_contact

Get details of a specific contact

get_conversation

Get details of a specific conversation

list_contacts

List contacts in Polaria

list_conversations

List conversations in Polaria

list_faqs

List FAQs in Polaria

list_widgets

List Polaria widgets

Why Vercel AI SDK?

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.

  • 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

See it in action

Polaria in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Polaria and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Polaria to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Polaria in Vercel AI SDK

The Polaria 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Polaria
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Polaria for Vercel AI SDK

Every tool call from Vercel AI SDK to the Polaria MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Where do I find my Secret Key?

Log in to Polaria, go to Settings > Marketplace > Create my own app, create a new application, and show the 'Secret Key' in the authorized applications section.

02

What is the Base URL for the API?

The Polaria REST API v2 base URL is: https://polaria.ai/rest/v2/

03

Can I modify existing conversations?

Yes, you can add replies and change the status of existing conversations directly using the Polaria MCP.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp