Workast MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Space, Create Task, Delete Task, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Workast through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Workast 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
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 Workast, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Workast MCP Server
Connect your Workast account to any AI agent to streamline your project management and task automation. Workast provides a powerful platform for organizing team workflows, tracking deadlines, and managing project backlogs directly within your existing communication tools.
The Vercel AI SDK gives every Workast 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 & Space Orchestration — Organize your work using Spaces to group related task lists and projects for different teams.
- Task Lifecycle Management — Create, list, and update tasks with due dates, priorities, and detailed descriptions.
- Team Coordination — List and manage team members to assign responsibilities and monitor project progress programmatically.
- Metadata Synchronization — Access team-wide metadata and user profiles to keep your AI workflows aligned with your organization.
- Real-time Status Updates — Use natural language to get instant summaries of active spaces and task completion statuses.
The Workast 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 Workast tools available for Vercel AI SDK
When Vercel AI SDK connects to Workast through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, workflow-automation, team-collaboration, 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.
Create a new space
Create a new task
Delete a task
Get my profile
Get space details
Get task details
Get team details
Get user details
List all Workast spaces
List tasks in a space
List team users
Update a task
Connect Workast to Vercel AI SDK via MCP
Follow these steps to wire Workast into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Workast MCP Server
Vercel AI SDK provides unique advantages when paired with Workast through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Workast integration everywhere
Built-in streaming UI primitives let you display Workast tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Workast + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Workast MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Workast in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Workast tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Workast capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Workast through natural language queries
Example Prompts for Workast in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Workast immediately.
"List all active spaces in my Workast account."
"Show me the tasks currently in the 'Design Team' space."
Troubleshooting Workast MCP Server with Vercel AI SDK
Common issues when connecting Workast to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWorkast + Vercel AI SDK FAQ
Common questions about integrating Workast MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.