How to Use the Relay Workflow Automation MCP in Mastra AI

Q: What happens if a Mastra AI task using Relay Workflow Automation fails?

You can use getrunstatus to catch the failure. Your agent can then trigger a retry or execute a different workflow to mitigate the error.

Q: How do I list my existing workflows in Mastra AI?

Call listworkflows to see what is currently configured in your Relay account. The agent can use this list to decide which tool to call.

Build resilient agents in Mastra AI that trigger, monitor, and manage your Relay workflows with automated error handling.

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MCP Servers — Included with Plan

Connect Relay Workflow Automation MCP to Mastra AI

Create your Vinkius account to connect Relay Workflow Automation to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Relay Workflow Automation with Mastra AI

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Mastra AI agent workflow control

Give your agents the ability to kick off processes using `run_workflow`. Your Mastra agents handle the logic, and the Relay API handles the heavy lifting. You can set up conditional triggers so the agent decides exactly when to fire a workflow based on its internal state.

Automated status tracking for Mastra AI

Use `get_run_status` and `list_runs` to keep your agents informed about ongoing tasks. If a job takes too long, your agent can decide to check the status again or escalate. It removes the need for manual monitoring. The agent stays updated on the lifecycle of every triggered automation.

Safe execution and termination

If an agent detects a loop or a change in plan, it can use `cancel_run` to stop an active process. This keeps your system clean and prevents wasted execution time. Everything is handled through the standard agent tool interface. You just define the agent, add the tools, and let it run.

Setup guide

Set up Relay Workflow Automation 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 Relay Workflow Automation 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: "relay-workflow-automation-mcp-client",
  servers: {
    "relay-workflow-automation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Relay Workflow Automation MCP in Mastra AI

You instantiate the MCP client and register the tools directly into your Mastra agent configuration. The agent then treats Relay workflows as native capabilities.

Absolutely. You can write your agent logic to evaluate conditions before calling `run_workflow`, allowing for sophisticated, multi-step decision trees.

You can use `get_run_status` to catch the failure. Your agent can then trigger a retry or execute a different workflow to mitigate the error.

Call `list_workflows` to see what is currently configured in your Relay account. The agent can use this list to decide which tool to call.

The server uses your provided endpoint token for authentication. All communication happens over encrypted channels, and only your workflow execution logs are stored by the service.

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