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Wrike MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Task Comment, Create Folder, Create Task, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wrike through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Wrike app connector for Vercel AI SDK is a standout in the Industry Titans 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Wrike, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Wrike
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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 Wrike MCP Server

Connect your Wrike account to any AI agent to automate your complex project management workflows through natural conversation. Wrike provides a robust environment for enterprise-scale collaboration, task tracking, and resource management.

The Vercel AI SDK gives every Wrike tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Project Lifecycle — List, create, and update tasks with granular control over importance levels, statuses, and custom metadata.
  • Hierarchical Organization — Navigate and manage the work using a structured system of folders and projects for different departments or clients.
  • Team Collaboration — Retrieve discussion threads and post comments directly to task feeds to keep your team aligned programmatically.
  • Workspace Monitoring — List contacts, track custom workflows, and manage task attachments to maintain a clear overview of operational progress.
  • Operational Efficiency — Automate task assignments and progress tracking to reduce manual coordination effort.

The Wrike MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK 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 Wrike tools available for Vercel AI SDK

When Vercel AI SDK connects to Wrike through Vinkius, your AI agent gets direct access to every tool listed below — spanning enterprise-collaboration, task-organization, resource-management, 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.

add_task_comment

Post comment to task

create_folder

Add new folder/project

create_task

Add new task

get_task_details

Get full task info

get_user_profile

Get current user

list_custom_workflows

List task workflows

list_folders_and_projects

List hierarchy

list_task_attachments

List task files

list_task_comments

Get task discussion

list_tasks

Can filter by status (Active, Completed, Deferred, Cancelled). List project tasks

list_team_members

List workspace users

update_task

Modify task info

Connect Wrike to Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 12 tools from Wrike and passes them to the LLM

Why Use Vercel AI SDK with the Wrike MCP Server

Vercel AI SDK provides unique advantages when paired with Wrike through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Wrike integration everywhere

03

Built-in streaming UI primitives let you display Wrike tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Wrike + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Wrike MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Wrike in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Wrike tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Wrike capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Wrike through natural language queries

Example Prompts for Wrike in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wrike immediately.

01

"List all my active tasks due this week."

02

"Create a new high-priority task 'Draft Marketing Proposal' in project 'fld_123456'."

Troubleshooting Wrike MCP Server with Vercel AI SDK

Common issues when connecting Wrike to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Wrike + Vercel AI SDK FAQ

Common questions about integrating Wrike MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.