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Cedar AI MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Arrive Train, Depart Train, Get Railcar Details, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cedar AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Cedar AI app connector for Mastra AI is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "cedar-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Cedar AI Agent",
    instructions:
      "You help users interact with Cedar AI " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Cedar AI?"
  );
  console.log(result.text);
}

main();
Cedar AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cedar AI MCP Server

Connect your Cedar AI railway management account to any AI agent and simplify how you coordinate rail operations, track car movements, and manage logistics documentation through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Cedar AI tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Inventory Management — List all railcars currently in your facility and retrieve detailed metadata and status for individual units.
  • Car Movement Tracking — Record placements (setouts) and removals (pickups) of railcars at specific locations or tracks.
  • Logistics Documentation — List and query waybills to understand shipping instructions, routes, and commodity data.
  • Work Order Control — Manage the lifecycle of movement instructions by listing and updating work orders and associated tasks.
  • Consist Coordination — Record train arrivals and departures to keep your inventory and operations synchronized.
  • Status Maintenance — Update railcar tags and conditions (e.g., Bad Order, Empty/Loaded) directly via AI commands.

The Cedar AI MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cedar AI tools available for Mastra AI

When Mastra AI connects to Cedar AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning railway-management, logistics-optimization, freight-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

arrive_train

Record train arrival

depart_train

Record train departure

get_railcar_details

Get details for a specific railcar

get_waybill_details

Get details for a specific waybill

get_work_order_details

Get details for a specific work order

list_inventory

List railcars currently in inventory

list_waybills

List waybills

list_work_orders

List work orders

pickup_cars

Record removal of cars

setout_cars

Record placement of cars

update_railcar_status

g., Bad Order, Clean, Loaded/Empty). Update status of a railcar

update_work_order

Update a work order

Connect Cedar AI to Mastra AI via MCP

Follow these steps to wire Cedar AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Cedar AI via MCP

Why Use Mastra AI with the Cedar AI MCP Server

Mastra AI provides unique advantages when paired with Cedar AI through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cedar AI without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Cedar AI tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Cedar AI + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Cedar AI MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Cedar AI, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Cedar AI as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Cedar AI on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Cedar AI tools alongside other MCP servers

Example Prompts for Cedar AI in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Cedar AI immediately.

01

"List all railcars currently in the main yard inventory."

02

"Record a setout of cars 'TBOX 101, TBOX 102' at 'Customer Track 4'."

03

"Show me the details for waybill 'WB-88231'."

Troubleshooting Cedar AI MCP Server with Mastra AI

Common issues when connecting Cedar AI to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Cedar AI + Mastra AI FAQ

Common questions about integrating Cedar AI MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.