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Cloud BOT MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Cancel Job, Execute Bot, Get Bot Details, and more

Built by Vinkius GDPR 7 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Cloud BOT app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Cloud BOT
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Cloud BOT MCP Server

Connect your Cloud BOT account to any AI agent and take full control of your cloud-based Robotic Process Automation (RPA) and browser-based workflows through natural conversation.

The Vercel AI SDK gives every Cloud BOT tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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

  • Robot Orchestration — List and manage all browser automation robots in your account programmatically, retrieving detailed configuration and input parameter metadata
  • Automated Job Execution — Programmatically trigger bot executions with custom JSON parameters to coordinate high-fidelity web scraping and data entry tasks
  • Workflow Monitoring — Track the real-time status of your automation jobs and retrieve detailed logs and results to maintain perfectly coordinated RPA operations
  • File Architecture — Access and manage files within the Cloud BOT storage used or generated by your robots to maintain high-fidelity data cycles
  • Lifecycle Management — Programmatically cancel or suspend running jobs and verify API connectivity directly through your agent for instant operational reporting

The Cloud BOT MCP Server exposes 7 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 7 Cloud BOT tools available for Vercel AI SDK

When Vercel AI SDK connects to Cloud BOT through Vinkius, your AI agent gets direct access to every tool listed below — spanning rpa, web-scraping, no-code, 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.

cancel_job

Cancel a running job

execute_bot

You can pass optional input parameters as a JSON string. Trigger a bot execution

get_bot_details

Get details for a specific bot

get_job_status

Check the status of a job

list_bots

List all available RPA bots

list_cloudbot_files

List files in Cloud BOT storage

list_jobs

List recent execution jobs

Connect Cloud BOT to Vercel AI SDK via MCP

Follow these steps to wire Cloud BOT into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 7 tools from Cloud BOT and passes them to the LLM

Why Use Vercel AI SDK with the Cloud BOT MCP Server

Vercel AI SDK provides unique advantages when paired with Cloud BOT 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 Cloud BOT integration everywhere

03

Built-in streaming UI primitives let you display Cloud BOT 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

Cloud BOT + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Cloud BOT in Vercel AI SDK

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

01

"List all available browser robots in my Cloud BOT account."

02

"Execute the 'Price Scraper' bot (ID: 'bot_123') with URL 'vinkius.com'."

03

"Show the status and logs for automation job 'job_456'."

Troubleshooting Cloud BOT MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cloud BOT + Vercel AI SDK FAQ

Common questions about integrating Cloud BOT 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.