How to Use the Cedar AI MCP in Mastra AI

Q: How do I load Cedar AI tools into Mastra AI?

Install @mastra/mcp. Initialize an MCP Server client with your Vinkius URL, then call listTools() and spread them into your agent's tool array. The framework auto-detects the transport layer.

Q: Can Mastra AI chain Cedar AI train operations together?

Yes. You define a workflow that triggers arrivetrain, waits for confirmation, and immediately calls listworkorders to assign tasks to the yard crew.

Q: How does Mastra handle failed Cedar AI railcar updates?

The engine catches errors from updaterailcarstatus and triggers your defined fallback path. You can configure it to retry three times before alerting an admin.

Automate complex rail yard workflows with Mastra AI, handling train arrivals and work orders with built-in retries and conditional logic.

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Setup Cedar AI with Mastra AI

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Resilient Work Order Pipelines via MCP Server

Rail yard connectivity drops all the time. Building workflows that crash on a single failed API call ruins operations. Mastra AI solves this by wrapping Cedar AI tools in automatic retries with exponential backoff. If a dispatcher triggers a workflow that includes `update_work_order`, the engine ensures it completes. When the connection stutters, Mastra waits and tries again before marking the task as failed.

Automated Yard Inventory Logic

Managing car placements requires strict sequencing. You build conditional branches that check inventory before moving anything. The agent calls `list_inventory` first. If the target track is full, the workflow branches to notify the yardmaster. If space exists, it proceeds to execute `pickup_cars` and `setout_cars`. You deploy this entire logic tree to your cloud provider with one command.

Human-in-the-loop Train Dispatch

Some actions carry too much risk for full automation. Recording a train departure affects the entire network schedule. You use Mastra's `requireToolApproval` feature to pause the workflow. The agent prepares the `depart_train` payload and waits. A human supervisor reviews the data, clicks approve, and the workflow resumes. You get AI speed with human oversight.

Setup guide

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

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

const result = await agent.generate(
  "List recent Cedar AI 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 Cedar AI. 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.

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Common questions about Cedar AI MCP in Mastra AI

Install `@mastra/mcp`. Initialize an MCP Server client with your Vinkius URL, then call `listTools()` and spread them into your agent's tool array. The framework auto-detects the transport layer.

Yes. You define a workflow that triggers `arrive_train`, waits for confirmation, and immediately calls `list_work_orders` to assign tasks to the yard crew.

The engine catches errors from `update_railcar_status` and triggers your defined fallback path. You can configure it to retry three times before alerting an admin.

No. Mastra compiles your agents and workflows into standard Node.js applications. You deploy them to any cloud provider using their built-in deployment commands.

Vinkius operates on a zero-trust model. Your waybill details and inventory lists pass through a secure, isolated sandbox that terminates immediately after the task finishes. We never log your payload data.

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