How to Use the Konnektive MCP in Mastra AI

Q: Are Konnektive customer details secure during Mastra AI workflows?

The MCP Server processes getcustomerdetails queries inside an ephemeral V8 Isolate. Once the workflow extracts the necessary profile fields, the sandbox terminates. No persistent storage exists on the Vinkius edge.

Build resilient Konnektive CRM workflows in Mastra AI with automatic retries and conditional branching.

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Connect Konnektive MCP to Mastra AI

Create your Vinkius account to connect Konnektive to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Konnektive with Mastra AI

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Claude

Perplexity

Automate Address Corrections

Trigger `update_order_shipping_address` inside a Mastra AI workflow via this MCP Server when a delivery fails. If the API throws a rate limit error, the framework automatically applies exponential backoff and tries again. You don't have to write custom retry logic. You can chain this with `get_customer_details` to verify the new address against their profile. If the validation fails, the workflow branches and alerts a human operator using the requireToolApproval flag.

Audit Billing Campaigns with this MCP Server

Run scheduled checks on your marketing spend using `list_billing_campaigns`. The agent pulls the active campaign list and compares it against your expected budget. If something looks wrong, it calls `get_konnektive_audit_logs` to trace exactly who modified the campaign settings. The workflow engine catches any timeout errors during the log fetch and safely restarts the step.

Sync Orders and Fulfillment

Query recent purchases using `query_konnektive_orders` and map them to warehouses. The agent evaluates the shipping destination and selects the closest facility. It then pulls the available centers with `list_fulfillment_houses`. If the primary warehouse is offline, Mastra routes the request to a secondary location. The built-in error handling keeps the supply chain moving.

Setup guide

Set up Konnektive MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Konnektive tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "konnektive-mcp-client",
  servers: {
    "konnektive-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Konnektive Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Konnektive tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Konnektive transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Konnektive. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Konnektive MCP in Mastra AI

Install @mastra/mcp@latest. Create a new MCPClient instance passing the Vinkius URL in the servers object, then spread mcpClient.listTools() into your agent configuration.

Yes. The framework automatically applies exponential backoff if tools like query_konnektive_transactions hit API limits. It retries the request without failing the entire workflow.

Set the requireToolApproval flag on your agent. When the workflow attempts to execute update_order_shipping_address, execution pauses until an administrator approves the payload.

It does. You just provide the endpoint URL. The client negotiates between Streamable HTTP or SSE automatically during the connection phase.

The MCP Server processes get_customer_details queries inside an ephemeral V8 Isolate. Once the workflow extracts the necessary profile fields, the sandbox terminates. No persistent storage exists on the Vinkius edge.

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