Kaseya MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kaseya 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
Vinkius supports streamable HTTP and SSE.
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 Kaseya, 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 Kaseya MCP Server
Connect your Kaseya VSA 10 instance to your AI agent for comprehensive IT management and remote monitoring. This MCP server enables your agent to interact with devices, scripts, and automation workflows across your managed environments.
The Vercel AI SDK gives every Kaseya tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Device Visibility — List all managed agents and drill down into hardware/software details
- Inventory Tracking — Query organizations, groups, and assets to maintain a clear picture of your IT estate
- Automation Management — List and inspect scripts and automation workflows ready for deployment
- Security Monitoring — Access audit logs and active alarms to stay on top of system health and threats
- Operational Insights — Retrieve system information and health metadata for your VSA 10 instance
The Kaseya MCP Server exposes 10 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.
How to Connect Kaseya to Vercel AI SDK via MCP
Follow these steps to integrate the Kaseya MCP Server with Vercel AI SDK.
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 10 tools from Kaseya and passes them to the LLM
Why Use Vercel AI SDK with the Kaseya MCP Server
Vercel AI SDK provides unique advantages when paired with Kaseya 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 Kaseya integration everywhere
Built-in streaming UI primitives let you display Kaseya 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
Kaseya + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kaseya MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kaseya in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kaseya tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kaseya capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kaseya through natural language queries
Kaseya MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kaseya to Vercel AI SDK via MCP:
get_agent_details
Get detailed information for a specific agent
get_system_info
Get VSA 10 system information
list_agents
Use this to check device availability and status. List all managed agents (devices) in Kaseya
list_alarms
List active system alarms
list_assets
List managed assets
list_audit_logs
List recent audit logs
list_groups
List all machine groups
list_organizations
List all organizations in Kaseya
list_scripts
List agent scripts
list_workflows
List automation workflows
Example Prompts for Kaseya in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kaseya immediately.
"List all agents that are currently offline in Kaseya."
"Show me the recent audit logs for my VSA instance."
"List all machine groups in the organization."
Troubleshooting Kaseya MCP Server with Vercel AI SDK
Common issues when connecting Kaseya to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKaseya + Vercel AI SDK FAQ
Common questions about integrating Kaseya 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.Connect Kaseya with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kaseya to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.