Worksection MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Complete Task, Create Task, Get Project Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Worksection 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 Worksection 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 Worksection, 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 Worksection MCP Server
Connect your Worksection account to any AI agent to automate your project management and team productivity workflows. Worksection provides a comprehensive set of tools for managing tasks, tracking time, and monitoring real-time project activities through natural conversation.
The Vercel AI SDK gives every Worksection 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 Management — List all projects, create new ones, and manage tasks across your entire organization programmatically.
- Time Tracking & Timers — Monitor active timers for team members and stop time trackers directly from the AI interface.
- Activity Monitoring — Retrieve a detailed event log of recent account activities to stay updated on project changes and completions.
- Stakeholder Collaboration — Access task comments, project members, and attached files to maintain a clear overview of team collaboration.
- Hierarchical Oversight — Navigate project folders and task sub-trees using simple natural language commands.
The Worksection 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 Worksection tools available for Vercel AI SDK
When Vercel AI SDK connects to Worksection through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, time-tracking, project-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.
Finish a task
Add new task
Get project info
Get full task info
Check running timers
List company users
List team on project
List tasks in project
List workspace projects
Get event log
Restore a task
Finish time tracking
Connect Worksection to Vercel AI SDK via MCP
Follow these steps to wire Worksection 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 Worksection MCP Server
Vercel AI SDK provides unique advantages when paired with Worksection 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 Worksection integration everywhere
Built-in streaming UI primitives let you display Worksection 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
Worksection + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Worksection MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Worksection in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Worksection tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Worksection capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Worksection through natural language queries
Example Prompts for Worksection in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Worksection immediately.
"List all my active project folders in Worksection."
"Show me the last 10 events from my account activity log."
Troubleshooting Worksection MCP Server with Vercel AI SDK
Common issues when connecting Worksection to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWorksection + Vercel AI SDK FAQ
Common questions about integrating Worksection 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.