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Sobot MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
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* 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 Sobot MCP Server

Empower your AI agent to orchestrate your customer service with Sobot (智齿科技), the premier AI-driven customer support platform in China. By connecting Sobot to your agent, you transform complex ticketing management and agent coordination into a natural conversation. Your agent can instantly list your work orders, retrieve agent statuses, browse knowledge base articles, and even audit chat histories without you ever needing to navigate the comprehensive web interface. Whether you are managing a high-volume support team or a specific high-priority ticket, your agent acts as a real-time support operations assistant, keeping your data accurate and your customers satisfied.

The Vercel AI SDK gives every Sobot 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.

What you can do

  • Ticket Management — List all active work orders, get detailed information, and create new tickets instantly.
  • Agent Coordination — Browse support agents and monitor their real-time online/busy status.
  • Knowledge Retrieval — List and retrieve content from your Sobot knowledge base to assist with customer queries.
  • Chat Audit — Browse historical chat records and transcripts to track customer engagement.
  • Service Insights — Retrieve high-level summaries of organization-wide support activity and performance.

The Sobot 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 Sobot to Vercel AI SDK via MCP

Follow these steps to integrate the Sobot MCP Server with Vercel AI SDK.

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 10 tools from Sobot and passes them to the LLM

Why Use Vercel AI SDK with the Sobot MCP Server

Vercel AI SDK provides unique advantages when paired with Sobot 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 Sobot integration everywhere

03

Built-in streaming UI primitives let you display Sobot 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

Sobot + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Sobot MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Sobot to Vercel AI SDK via MCP:

01

create_ticket

Create a new ticket

02

get_agent_status

Get agent online status

03

get_knowledge_detail

Get knowledge article details

04

get_org_summary

Get organization activity summary

05

get_ticket_details

Get ticket details

06

list_agents

List support agents

07

list_chat_history

List chat history

08

list_knowledge

List knowledge base articles

09

list_tickets

List customer support tickets

10

list_users

List customers/users

Example Prompts for Sobot in Vercel AI SDK

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

01

"List all active support tickets from Sobot."

02

"Check if agent 'Mario' is currently online."

03

"Search the knowledge base for 'refund policy'."

Troubleshooting Sobot MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Sobot + Vercel AI SDK FAQ

Common questions about integrating Sobot 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.

Connect Sobot to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.