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zipBoard MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Project, Create Task, Get Organization, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect zipBoard 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 MCP Server for Vercel AI SDK

The zipBoard MCP Server for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 zipBoard, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
zipBoard
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About zipBoard MCP Server

Connect your zipBoard account to any AI agent to streamline your visual review and bug tracking workflows. zipBoard provides a powerful platform for collecting feedback on websites, images, and PDF documents through natural conversation.

The Vercel AI SDK gives every zipBoard tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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 Orchestration — List all your visual review projects and retrieve detailed metadata including owners and configurations.
  • File & URL Management — Access and monitor the files, URLs, and documents being reviewed within your projects.
  • Task & Issue Tracking — List and create tasks/bugs with direct control over priorities and assignees to ensure efficient QA.
  • Organization Insights — Retrieve detailed information about your zipBoard organization to maintain an overview of your team's structure.
  • Real-time Feedback — Get a comprehensive overview of active issues and feedback cycles using natural language commands.

The zipBoard MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 zipBoard tools available for Vercel AI SDK

When Vercel AI SDK connects to zipBoard through Vinkius, your AI agent gets direct access to every tool listed below — spanning bug-tracking, visual-feedback, issue-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create project on zipBoard

Pass data as a JSON string. Create a new project

create

Create task on zipBoard

Create a new task/issue

get

Get organization on zipBoard

Get organization details

list

List files on zipBoard

List project files/URLs

list

List projects on zipBoard

List all zipBoard projects

list

List tasks on zipBoard

List project tasks/issues

Connect zipBoard to Vercel AI SDK via MCP

Follow these steps to wire zipBoard into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 6 tools from zipBoard and passes them to the LLM

Why Use Vercel AI SDK with the zipBoard MCP Server

Vercel AI SDK provides unique advantages when paired with zipBoard 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 zipBoard integration everywhere

03

Built-in streaming UI primitives let you display zipBoard 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

zipBoard + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for zipBoard in Vercel AI SDK

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

01

"List all active review projects in zipBoard."

02

"Show me the pending bugs for the 'Mobile App QA' project."

Troubleshooting zipBoard MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

zipBoard + Vercel AI SDK FAQ

Common questions about integrating zipBoard 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.

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