How to Use the Cedar AI MCP in Vercel AI SDK

Q: How do I connect Cedar AI to the Vercel AI SDK?

Install @ai-sdk/mcp via npm. Create the connection using createMCPClient with your Vinkius HTTP URL. Pass the resulting tools into your generation functions.

Q: Can Vercel AI SDK stream Cedar AI railcar updates?

Yes. When the agent calls getrailcardetails, the SDK streams the tool execution state and the final payload back to your frontend. Users see the data instantly.

Build live rail yard dashboards where Vercel AI SDK streams train arrivals and waybill updates directly into your React frontend.

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Connect Cedar AI MCP to Vercel AI SDK

Create your Vinkius account to connect Cedar AI to Vercel AI SDK 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 Cedar AI with Vercel AI SDK

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Stream Yard Operations with Vercel AI SDK

Rail yard managers hate staring at loading spinners while waiting for inventory updates. You fix that by passing this MCP Server into `streamText`. When your users ask for current stock, the AI calls `list_inventory` and pushes the data straight to the UI in real-time. They see cars appear on the screen exactly as the engine fetches them. You build a fast, reactive Next.js dashboard where dispatchers watch `arrive_train` and `depart_train` events populate instantly.

Live Work Order Execution

Static forms slow down yard crews. Your frontend changes the game by letting users chat to manage tasks. They type a command to mark car 4022 as loaded, and the AI fires off `update_railcar_status` behind the scenes. Everything happens via edge functions. The client invokes `get_work_order_details` to check requirements, then calls `update_work_order` when the crew finishes the job. The UI updates immediately without a page refresh.

Real-Time Waybill Tracking

Customers call constantly asking where their freight is. You build a customer portal that connects directly to the `get_waybill_details` tool. The MCP Server reads the waybill and streams the exact location back to the user's browser. Handling complex queries takes seconds. If someone needs a full list of inbound shipments, the agent triggers `list_waybills` and formats the output into a clean React table. No manual database queries required.

Setup guide

Set up Cedar AI MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Cedar AI tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Cedar AI transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Cedar AI MCP in Vercel AI SDK

Install `@ai-sdk/mcp` via npm. Create the connection using `createMCPClient` with your Vinkius HTTP URL. Pass the resulting tools into your generation functions.

Yes. When the agent calls `get_railcar_details`, the SDK streams the tool execution state and the final payload back to your frontend. Users see the data instantly.

Vinkius handles the heavy lifting. You just pass your endpoint token into the `authProvider` configuration when initializing the MCP Server connection. The V8 Isolate Sandbox keeps the connection secure.

The tool returns an error state that your React app catches. You render a fallback UI so the yard worker knows `update_work_order` failed to execute.

Vinkius runs every request through an ephemeral V8 Isolate Sandbox. Your train manifests, waybill records, and work orders exist only for the duration of the call. Nothing gets stored permanently on our infrastructure.

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