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Vinkius

Kustomer MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Kustomer through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "kustomer": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Kustomer Agent",
    instructions:
      "You help users interact with Kustomer " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Kustomer?"
  );
  console.log(result.text);
}

main();
Kustomer
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

About Kustomer MCP Server

Connect your AI agent to Kustomer to streamline your support operations and customer data auditing.

Mastra's agent abstraction provides a clean separation between LLM logic and Kustomer tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Kustomer MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from Kustomer via MCP

Why Use Mastra AI with the Kustomer MCP Server

Mastra AI provides unique advantages when paired with Kustomer through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Kustomer without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Kustomer tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Kustomer + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Kustomer MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Kustomer, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Kustomer as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Kustomer on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Kustomer tools alongside other MCP servers

Kustomer MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Kustomer to Mastra AI via MCP:

01

check_kustomer_api_status

Check the status of the Kustomer API

02

get_conversation_details

Get details for a specific conversation

03

get_customer_profile

Get details for a specific customer

04

list_conversation_messages

List all messages in a conversation

05

list_data_klasses

List Kustomer custom data classes (Klasses)

06

list_kustomer_agents

List all support agents (users)

07

list_kustomer_customers

Essential for identifying customer IDs for support auditing. List all customers in Kustomer

08

list_support_conversations

List recent support conversations

09

list_support_queues

g., Billing, Technical Support) defined in Kustomer. List active support queues

10

search_kustomer_timeline

Provide filters as a JSON string. Perform a deep search across the customer timeline

Example Prompts for Kustomer in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Kustomer immediately.

01

"List the 10 most recent support conversations in Kustomer"

02

"Show the full profile for customer '65a4b3c2d1e0f'"

03

"Search the timeline for customers from 'Brazil'"

Troubleshooting Kustomer MCP Server with Mastra AI

Common issues when connecting Kustomer to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Kustomer + Mastra AI FAQ

Common questions about integrating Kustomer MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Kustomer to Mastra AI

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