How to Use the Anaplan MCP in Vercel AI SDK

Q: Can Vercel AI SDK trigger an Anaplan export?

Yes, you can invoke the runexport tool directly through the SDK. Map the tool to a button click in your UI to start the job.

Q: How do I handle task status in Vercel AI SDK?

Poll the gettaskstatus tool after initiating a process. You can update your React state based on the returned completion percentage.

Push live Anaplan data into your Vercel AI SDK frontends. Stop waiting for spinners and stream model updates directly to your users.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Anaplan MCP to Vercel AI SDK

Create your Vinkius account to connect Anaplan 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.

GDPR Free for Subscribers

Setup Anaplan with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time model data for Vercel AI SDK

Trigger `list_models` and `list_workspaces` to populate your UI components instantly. Your frontends reflect the exact state of your planning environment without manual refresh cycles. Connect these calls to `streamText` to keep your interface updated as the data arrives. It turns static Anaplan dashboards into reactive elements for your visitors.

Execute Anaplan actions from your edge functions

Trigger `run_import` or `run_process` directly from your server-side code. This MCP server handles the heavy lifting while your Vercel AI SDK app manages the user experience. Your app stays responsive while the backend logic fires off. You get the status back via `get_task_status` as soon as the job finishes.

Build dynamic file management in React

Use `list_files` to show your users what imports are ready for processing. It gives them visibility into the raw data flowing through your system. Pair this with `list_exports` to let users trigger data retrieval on demand. Your interface controls the pipeline, not just the view.

Setup guide

Set up Anaplan 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 Anaplan 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 Anaplan 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 Anaplan. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Anaplan now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Anaplan MCP in Vercel AI SDK

Initialize the client using the createMCPClient function. Once connected, call the tools method and pass the list_models tool into your generateText payload.

Yes, you can invoke the run_export tool directly through the SDK. Map the tool to a button click in your UI to start the job.

Vinkius manages all authentication tokens through a single secure endpoint. Your sensitive planning data remains encrypted in transit and is never logged by the intermediary.

Poll the get_task_status tool after initiating a process. You can update your React state based on the returned completion percentage.

It does. The transport layer works over standard HTTP, making it compatible with edge-deployed functions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python