Kustomer 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 Kustomer 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 Kustomer, 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 Kustomer MCP Server
Connect your AI agent to Kustomer to streamline your support operations and customer data auditing.
The Vercel AI SDK gives every Kustomer 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
- Omnichannel Conversation Access — List and audit support conversations from email, chat, and social channels
- Customer 360 View — Fetch detailed customer profiles including custom attributes and history
- Message Auditing — Retrieve the full message history for any support interaction
- Timeline Search — Perform deep searches across customer timelines using complex JSON filters
- Service Context — List support queues, agents, and custom data classes (Klasses)
Simple Setup
1. Subscribe to this server
2. Log in to Kustomer and generate a Bearer API Key (Settings > Security > API Keys)
3. Enter your key in the configuration panel
4. Start managing your support data via natural language
The Kustomer 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 Kustomer to Vercel AI SDK via MCP
Follow these steps to integrate the Kustomer 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 Kustomer and passes them to the LLM
Why Use Vercel AI SDK with the Kustomer MCP Server
Vercel AI SDK provides unique advantages when paired with Kustomer 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 Kustomer integration everywhere
Built-in streaming UI primitives let you display Kustomer 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
Kustomer + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kustomer MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kustomer in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kustomer tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kustomer capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kustomer through natural language queries
Kustomer MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kustomer to Vercel AI SDK via MCP:
check_kustomer_api_status
Check the status of the Kustomer API
get_conversation_details
Get details for a specific conversation
get_customer_profile
Get details for a specific customer
list_conversation_messages
List all messages in a conversation
list_data_klasses
List Kustomer custom data classes (Klasses)
list_kustomer_agents
List all support agents (users)
list_kustomer_customers
Essential for identifying customer IDs for support auditing. List all customers in Kustomer
list_support_conversations
List recent support conversations
list_support_queues
g., Billing, Technical Support) defined in Kustomer. List active support queues
search_kustomer_timeline
Provide filters as a JSON string. Perform a deep search across the customer timeline
Example Prompts for Kustomer in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kustomer immediately.
"List the 10 most recent support conversations in Kustomer"
"Show the full profile for customer '65a4b3c2d1e0f'"
"Search the timeline for customers from 'Brazil'"
Troubleshooting Kustomer MCP Server with Vercel AI SDK
Common issues when connecting Kustomer to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKustomer + Vercel AI SDK FAQ
Common questions about integrating Kustomer 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 Kustomer 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 Kustomer to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.