Worksuite MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Get Job, Get Project, Get Talent, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Worksuite 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 Worksuite app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 9 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 Worksuite, 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 Worksuite MCP Server
Connect your Worksuite (formerly Shortlist) account to any AI agent to automate your global talent management workflows. Manage your freelancer directory, job openings, projects, and payments through natural conversation.
The Vercel AI SDK gives every Worksuite tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Talent Orchestration — List and search your talent directory with detailed metadata on freelancers and contractors.
- Job Management — Retrieve and monitor current job openings and recruitment stages directly from the AI interface.
- Project Control — Track project progress, milestones, and deliverables to ensure your contingent workforce is on schedule.
- Payment Tracking — Monitor payment statuses and invoice approvals for your global contractor network.
- Workforce Intelligence — Get a comprehensive overview of your external workforce capacity and project assignments using natural language.
The Worksuite MCP Server exposes 9 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 9 Worksuite tools available for Vercel AI SDK
When Vercel AI SDK connects to Worksuite through Vinkius, your AI agent gets direct access to every tool listed below — spanning freelancer-management, contractor-onboarding, talent-directory, 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.
Get details of a job opening
Get details of a specific project
Get details of a specific talent
List invoices
List job openings
List payments
List projects in Worksuite
List all talents in Worksuite
List tasks in Worksuite
Connect Worksuite to Vercel AI SDK via MCP
Follow these steps to wire Worksuite 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 Worksuite MCP Server
Vercel AI SDK provides unique advantages when paired with Worksuite 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 Worksuite integration everywhere
Built-in streaming UI primitives let you display Worksuite 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
Worksuite + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Worksuite MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Worksuite in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Worksuite tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Worksuite capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Worksuite through natural language queries
Example Prompts for Worksuite in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Worksuite immediately.
"List all active contractors in my Worksuite directory."
"Show the status of project 'Mobile App V2'."
Troubleshooting Worksuite MCP Server with Vercel AI SDK
Common issues when connecting Worksuite to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWorksuite + Vercel AI SDK FAQ
Common questions about integrating Worksuite 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.