How to Use the Groove MCP in Mastra AI

Q: Does this MCP Server support human-in-the-loop for Groove?

Yes. You can use the requireToolApproval flag on any Groove tool. This pauses the workflow until a human confirms the action.

Build resilient support workflows in Mastra AI with automated ticket routing and state management.

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Connect Groove MCP to Mastra AI

Create your Vinkius account to connect Groove 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 Groove with Mastra AI

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Claude

Perplexity

Automated Groove triage for Mastra AI

Use `list_tickets` and `get_ticket` to feed your agent the context it needs to sort incoming requests. You build conditional logic that routes tickets based on their specific content. Your workflows handle the heavy lifting of sorting. If a ticket meets your criteria, the agent acts immediately without human intervention.

Multi-step Groove actions in Mastra AI

Chain multiple operations like `create_message` and `update_ticket_state` into a single Mastra AI workflow. You create complex sequences that handle entire ticket lifecycles. Failures are handled by your defined retry logic. The agent ensures that every reply or status update hits the Groove API correctly before moving to the next step.

Agent and customer context resolution

Query `list_agents` and `get_customer` to enrich your support data. Your workflows gain awareness of who is handling a ticket and which customer is waiting for a response. This data allows for personalized routing. You can prioritize tickets from high-value customers or assign them to specific agents based on the returned details.

Setup guide

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

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

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

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Common questions about Groove MCP in Mastra AI

Mastra AI supports automatic retries with exponential backoff. If a Groove tool call fails, the workflow engine manages the retry attempt based on your configuration.

Absolutely. You can branch your workflow based on the output of `get_ticket`. If a ticket is flagged as urgent, the agent takes a different path.

You provide one endpoint token to the server. The connection is managed securely, and the agent uses this to perform all authorized actions.

Yes. You can use the `requireToolApproval` flag on any Groove tool. This pauses the workflow until a human confirms the action.

The server processes ticket numbers, message bodies, and agent identifiers. This information is treated as ephemeral and is only used to fulfill the agent's current task.

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