How to Use the Wrike MCP in Vercel AI SDK

Q: What type of data can I get using Vercel AI SDK and Wrike?

You can access task details, project listings (listwrikeprojects), folder structures, contact lists, and available spaces. It's all structured JSON ready for display.

Q: If I use Vercel AI SDK, how do I search Wrike efficiently?

You can scope your searches using listwriketasks by passing a specific folder ID. This keeps the task results focused and prevents overwhelming the user with global data.

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Connect Wrike MCP to Vercel AI SDK

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

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View Tasks and Projects in Real Time

Need to pull specific job details? Use `get_task_details` to fetch all the necessary information for a single Wrike task. Your user sees the data populate instantly, no loading spinner needed. You can also list active projects using `list_wrike_projects`, or get an overview of tasks across your account with `list_wrike_tasks`. All results stream directly into the UI.

Discovering Wrike Content

Before running a workflow, you'll need context. Call `list_wrike_spaces` to see all available top-level areas in Wrike. You can also run `list_wrike_folders` if your users need to browse specific project containers. This lets your front end build navigation or validate inputs against existing structures within the MCP Server.

Finding Team Members

Want to know who's on the team? The `list_wrike_contacts` tool gives you a list of all users and contacts in your Wrike workspace. This is key for building user profile pickers. You can also run `list_wrike_tasks` with an optional folder ID, letting the user scope task searches to a specific area.

Setup guide

Set up Wrike 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 Wrike 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 Wrike 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 Wrike. 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 Wrike MCP in Vercel AI SDK

The MCP Server handles authentication via your chosen OAuth provider. You don't manage tokens; the client manages the connection, so you just focus on displaying the data.

You can access task details, project listings (`list_wrike_projects`), folder structures, contact lists, and available spaces. It's all structured JSON ready for display.

Absolutely. Since results stream live into your React or Next.js components, you can show the user fetching tasks with `list_wrike_tasks` while simultaneously listing contacts via `list_wrike_contacts`.

This server primarily handles structured workspace metadata, including user contact information and task details. The system exposes tasks, folders, and project records.

You can scope your searches using `list_wrike_tasks` by passing a specific folder ID. This keeps the task results focused and prevents overwhelming the user with global data.

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