Zeev MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more

Name: Zeev
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Zeev MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 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 Zeev, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

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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 Zeev MCP Server

What you can do

List and manage your pending tasks in real-time.
Start new process requests with custom form data.
Complete tasks and make decisions directly from your AI agent.
Delegate tasks to other team members and track process history.

Who is it for?

Process managers looking for automated workflow control.
Operations teams needing quick task execution.
Developers integrating BPM into their AI-driven applications.

The Vercel AI SDK gives every Zeev tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Zeev MCP Server exposes 11 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 11 Zeev tools available for Vercel AI SDK

When Vercel AI SDK connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-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.

cancel

Cancel request on Zeev

Cancel an active process request

create

Create request on Zeev

Start a new process request in Zeev

delegate

Delegate task on Zeev

Delegate a task to another user

finish

Finish task on Zeev

Finish/Complete a Zeev task

get

Get me on Zeev

Get current user information

get

Get process on Zeev

Get details of a process definition

get

Get request on Zeev

Get details of a specific process request

get

Get task on Zeev

Get details of a specific Zeev task

list

List processes on Zeev

List available process definitions

list

List requests on Zeev

List process requests (instances) in Zeev

list

List tasks on Zeev

List pending tasks in Zeev

Connect Zeev to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 11 tools from Zeev and passes them to the LLM

Why Use Vercel AI SDK with the Zeev MCP Server

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

Built-in streaming UI primitives let you display Zeev 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

Zeev + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for Zeev in Vercel AI SDK

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

"List my pending tasks in Zeev."

"Finish task 123 with decision 'Approved'."

"Start a new 'Expense Report' process."

Troubleshooting Zeev MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Zeev + Vercel AI SDK FAQ

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

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.