How to Use the KnoCommerce MCP in Mastra AI

Build automated feedback workflows in Mastra AI using direct KnoCommerce data access.

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Connect KnoCommerce MCP to Mastra AI

Create your Vinkius account to connect KnoCommerce 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 KnoCommerce with Mastra AI

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Automated Survey Analysis in Mastra AI

Define agent workflows that trigger `get_survey_details` automatically. You can build logic that branches based on the status of your post-purchase campaigns. If a survey is active, the agent pulls the latest data. If not, it moves to the next step in your sequence without human intervention.

Conditional Attribution Logic

Use `get_channel_attribution_report` within a Mastra AI workflow to decide how to handle high-value feedback. You can set up retries if the API returns a transient error. This ensures your attribution tracking stays consistent even when service traffic spikes. It keeps your data pipeline reliable for long-running agent operations.

Feedback Escalation Workflows

Map `list_survey_responses` to an agent that flags negative feedback for review. You can use `get_response_details` to pull the full context for a human moderator to check. This setup allows for granular control over how your agent handles different types of survey input. It keeps your operations moving while keeping the human in the loop.

Setup guide

Set up KnoCommerce 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 KnoCommerce 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: "knocommerce-mcp-client",
  servers: {
    "knocommerce-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent KnoCommerce 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 KnoCommerce. 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.

Why Choose Vinkius

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Common questions about KnoCommerce MCP in Mastra AI

You can include the tools in your agent definition. When the agent detects specific feedback patterns, it executes the relevant tool call automatically.

Mastra AI includes built-in workflow engines that support exponential backoff. You configure the retry behavior directly in your agent's task logic.

The connection is ephemeral and handled via a secure endpoint token. Your data is not stored by the server after the request completes.

Yes, you can enable tool approval in your agent config. This forces the server to pause until you explicitly confirm the action.

The server provides access to survey IDs, customer names, and response content. All access is restricted to the scope defined by your API keys.

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