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Kolide MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Kolide
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 Kolide MCP Server

Connect your AI agent to Kolide to get full visibility into your organization's fleet security and device health.

The Vercel AI SDK gives every Kolide 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.

Key Features

  • Fleet Inventory — List all managed devices and their high-level security status
  • Issue Tracking — Monitor active security vulnerabilities and misconfigurations across your fleet
  • People & Ownership — See which users are associated with which devices and their individual compliance state
  • Security Checks — Audit available security checks and dive into specific failure conditions
  • Audit Logs — Access a chronological history of administrative and security events

How to setup

1. Subscribe to this server
2. Log in to Kolide, go to Settings > API, and generate a Bearer Token
3. Enter your token in the configuration
4. Start auditing your fleet via natural language

The Kolide 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 Kolide to Vercel AI SDK via MCP

Follow these steps to integrate the Kolide MCP Server with Vercel AI SDK.

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 10 tools from Kolide and passes them to the LLM

Why Use Vercel AI SDK with the Kolide MCP Server

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

03

Built-in streaming UI primitives let you display Kolide 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

Kolide + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Kolide MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Kolide to Vercel AI SDK via MCP:

01

get_check_details

Get details for a specific check

02

get_device_details

Get details for a specific device

03

get_issue_details

Get details for a specific security issue

04

get_kolide_fleet_stats

g., total devices, online status, issue count). Get high-level fleet statistics

05

get_person_details

Get details for a specific person

06

list_kolide_audit_logs

List fleet audit logs

07

list_kolide_checks

List all available security checks

08

list_kolide_devices

Use this to audit fleet security posture and identify individual device IDs. List all devices in the fleet

09

list_kolide_issues

List security issues across the fleet

10

list_kolide_people

List people/users managed in Kolide

Example Prompts for Kolide in Vercel AI SDK

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

01

"List all devices currently online in Kolide"

02

"What are the most common security issues in my fleet?"

03

"Show fleet statistics for today"

Troubleshooting Kolide MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Kolide + Vercel AI SDK FAQ

Common questions about integrating Kolide 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.

Connect Kolide to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.