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Skalin MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Cs Account, Get Account Health, Get Account Metrics, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Skalin through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Skalin app connector for Vercel AI SDK is a standout in the Industry Titans 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

typescript
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 Skalin, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Skalin MCP Server

Connect your Skalin account to any AI agent to automate your customer success and account management operations. Skalin provides a premier platform for monitoring customer health, tracking interactions, and managing tasks, and this integration allows you to retrieve account metadata, monitor health scores, and track alerts through natural conversation.

The Vercel AI SDK gives every Skalin 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

  • Account & CRM Orchestration — List all managed accounts and retrieve detailed profile metadata, including status and owner info programmatically.
  • Customer Health Monitoring — Access real-time health scores and metrics for your accounts to identify churn risks directly from the AI interface.
  • Interaction Lifecycle Management — Create and monitor customer interactions and tasks to ensure your team's workflow is always synchronized.
  • Alert & Notification Control — List and monitor system alerts to stay on top of critical account changes via natural language.
  • Team Coordination — Access and monitor CSM assignments and task progress to ensure optimal customer coverage.

The Skalin 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 Skalin tools available for Vercel AI SDK

When Vercel AI SDK connects to Skalin through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-success, churn-prevention, health-scores, 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_cs_account

Add new account

get_account_health

Check client health

get_account_metrics

Get usage metrics

get_api_status

Get connectivity info

list_account_contacts

List account people

list_account_interactions

Get account history

list_cs_accounts

List customer accounts

list_cs_alerts

). Get active alerts

list_cs_tasks

List success tasks

list_success_managers

List CSM users

log_interaction

Record meeting or email

update_cs_task

Modify success task

Connect Skalin to Vercel AI SDK via MCP

Follow these steps to wire Skalin into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Skalin and passes them to the LLM

Why Use Vercel AI SDK with the Skalin MCP Server

Vercel AI SDK provides unique advantages when paired with Skalin through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Skalin integration everywhere

03

Built-in streaming UI primitives let you display Skalin tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Skalin + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Skalin MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Skalin in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Skalin tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Skalin capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Skalin through natural language queries

Example Prompts for Skalin in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Skalin immediately.

01

"List all accounts with a health score below 50 in Skalin."

02

"Show me the customer health scores for all enterprise accounts with churn risk indicators."

03

"Generate a quarterly business review report for the Meridian Corp account."

Troubleshooting Skalin MCP Server with Vercel AI SDK

Common issues when connecting Skalin to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Skalin + Vercel AI SDK FAQ

Common questions about integrating Skalin MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.