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Vinkius

PAN-OS MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PAN-OS 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 PAN-OS, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
PAN-OS
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 PAN-OS MCP Server

Connect PAN-OS to any AI agent via MCP.

How to Connect PAN-OS to Vercel AI SDK via MCP

Follow these steps to integrate the PAN-OS 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 8 tools from PAN-OS and passes them to the LLM

Why Use Vercel AI SDK with the PAN-OS MCP Server

Vercel AI SDK provides unique advantages when paired with PAN-OS 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 PAN-OS integration everywhere

03

Built-in streaming UI primitives let you display PAN-OS 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

PAN-OS + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the PAN-OS MCP Server delivers measurable value.

01

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

02

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

03

Chatbots with tool use: embed PAN-OS capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with PAN-OS through natural language queries

PAN-OS MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect PAN-OS to Vercel AI SDK via MCP:

01

commit

This validates the config and activates it. Returns the commit job ID and status. Use this after making configuration changes to activate them. Commit the candidate configuration to running configuration

02

get_active_sessions

Use this to monitor real-time activity, identify heavy users, or debug connection issues. List all active network sessions on the firewall

03

get_nat_rules

Use this to audit NAT configurations or troubleshoot connectivity issues. List all NAT rules configured on the firewall

04

get_pending_changes

Use this to verify if the running configuration matches the candidate configuration before committing. Check if there are uncommitted configuration changes

05

get_security_rules

Use this to audit firewall policies, review access controls, or analyze rule usage. List all security rules configured on the firewall

06

get_system_info

Use this to verify firewall health, check software versions, or confirm connectivity. Get system information and status of the PAN-OS firewall

07

get_threat_logs

Contains source/dest IPs, threat names, severity, actions taken, and PCAP availability. Use this to investigate security incidents or analyze attack vectors. Retrieve recent threat logs from the firewall

08

get_traffic_logs

Optional limit parameter controls number of logs returned. Use this to analyze traffic patterns, identify blocked connections, or troubleshoot network issues. Retrieve recent traffic logs from the firewall

Troubleshooting PAN-OS MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

PAN-OS + Vercel AI SDK FAQ

Common questions about integrating PAN-OS 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 PAN-OS to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.