How to Use the Conductor (Netflix OSS) MCP in Mastra AI

Build complex, fault-tolerant automation agents for Mastra AI using the Netflix Conductor MCP Server.

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Connect Conductor (Netflix OSS) MCP to Mastra AI

Create your Vinkius account to connect Conductor (Netflix OSS) 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 Conductor (Netflix OSS) with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated workflow branching

Write agents that react to workflow failures by triggering retries or clean-up tasks automatically. You define the logic, and the agent handles the execution. Use `retry_workflow` or `skip_task` to manage exceptions during runtime. Your agents can make decisions based on real-time queue states.

Queue-driven agent tasks

Monitor your system load by checking queue depth before dispatching new work. This keeps your infrastructure stable during high volume. Use `get_queue_size` to gather metrics before the agent takes action. You avoid overloading your systems by checking capacity first.

Dynamic workflow definition updates

Update your orchestration logic on the fly as your agent discovers new requirements. This allows your Mastra AI agents to evolve their own processes. Use `create_workflow_definition` or `update_workflow_definitions` to modify your backend logic. Your agents maintain the integrity of your production workflows.

Setup guide

Set up Conductor (Netflix OSS) 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 Conductor (Netflix OSS) 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: "conductor-netflix-oss-mcp-client",
  servers: {
    "conductor-netflix-oss-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Conductor (Netflix OSS) MCP in Mastra AI

Add the server details to your Mastra client configuration. The framework will automatically register the tools for your agents to use.

Your agents can fetch and analyze logs using the provided tools. This helps them diagnose issues without you needing to check the dashboard.

You can build agents that monitor for failed statuses and trigger a retry. This automates your error recovery process entirely.

You can enable tool approval settings in your agent. This forces the agent to ask you before it executes critical commands like terminating a workflow.

Your workflow execution logs stay within your isolated session. The connection uses scoped tokens to ensure only your authorized agents access the server.

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