How to Use the GRIN MCP in Mastra AI

Q: Can Mastra AI automate my GRIN payout process?

Yes. You can create a workflow that calls listpayments to check for pending payouts. The agent then processes these payments based on your defined criteria.

Q: How does Mastra AI handle GRIN tool errors?

Mastra AI supports built-in retry logic. If a tool like listcampaigns fails, you can configure the agent to attempt the call again or alert an admin.

Build resilient influencer workflows with the GRIN MCP Server and Mastra AI agent framework.

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Connect GRIN MCP to Mastra AI

Create your Vinkius account to connect GRIN 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 GRIN with Mastra AI

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Automate creator partnerships with Mastra AI

Chain together complex tasks like verifying a creator status and issuing payments. You use `list_partnerships` and `list_payments` to define the steps of your workflow, letting the agent handle the heavy lifting. If a step fails, you set up automatic retries or branch the logic based on the outcome. This ensures your creator onboarding process stays consistent even when the API throws a temporary error.

Manage campaign logistics in Mastra AI

Control your product seeding and fulfillment cycles with precision. The `list_orders` tool provides the current status of every shipment, allowing your agents to flag delays or address fulfillment issues before they become problems. You create a workflow that monitors these orders in the background. If an order stalls, the agent triggers a follow-up action based on your specific business rules.

Scale creator CRM management with Mastra AI

Keep your contact database updated without manual intervention. By using `get_contact` and `update_contact`, you build agents that automatically reconcile creator data across your systems. The logic handles the data flow, ensuring that every update is logged and verified. You define the thresholds for these updates, keeping your CRM clean and accurate.

Setup guide

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

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

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

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Common questions about GRIN MCP in Mastra AI

Yes. You can create a workflow that calls `list_payments` to check for pending payouts. The agent then processes these payments based on your defined criteria.

Mastra AI supports built-in retry logic. If a tool like `list_campaigns` fails, you can configure the agent to attempt the call again or alert an admin.

They are. You list the tools from the server and spread them into your agent definition. This makes them available for use in any step of your multi-step process.

You can. By enabling tool approval in your agent, you force the system to pause until you verify a sensitive action like a creator payment.

Data privacy is handled at the transport layer. The MCP server only accesses names and contact records when your workflow specifically executes a tool call.

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