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Halo Security MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

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

main();
Halo Security
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 Halo Security MCP Server

Connect your Halo Security platform to any AI agent and take full control of your attack surface and vulnerability management through natural conversation.

The Vercel AI SDK gives every Halo Security 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.

What you can do

  • Asset Monitoring — List and add targets (domains, IPs, apps) to your security perimeter.
  • Vulnerability Oversight — Access and inspect discovered security issues, severities, and remediation status.
  • Scan Management — Review scan history and trigger new on-demand security assessments.
  • Infrastructure Discovery — List open ports, SSL/TLS certificates, and detected technologies across your assets.
  • Security Trends — Retrieve risk scores and security trends to monitor your posture over time.
  • DNS Insights — Access DNS records discovered during the reconnaissance phase.

The Halo Security MCP Server exposes 11 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 Halo Security to Vercel AI SDK via MCP

Follow these steps to integrate the Halo Security 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 11 tools from Halo Security and passes them to the LLM

Why Use Vercel AI SDK with the Halo Security MCP Server

Vercel AI SDK provides unique advantages when paired with Halo Security 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 Halo Security integration everywhere

03

Built-in streaming UI primitives let you display Halo Security 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

Halo Security + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Halo Security MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect Halo Security to Vercel AI SDK via MCP:

01

add_target

Add a new target for security monitoring

02

get_issue

Get detailed information about a specific security issue

03

get_security_risk

Get overall security risk scores and trends

04

list_certificates

List SSL/TLS certificates and their status

05

list_dns_records

List DNS records discovered for monitored targets

06

list_issues

List all discovered security issues and vulnerabilities

07

list_open_ports

List all discovered open ports across targets

08

list_scans

List history of security scans

09

list_targets

List all monitored targets (assets)

10

list_technologies

List detected technologies and libraries on targets

11

trigger_scan

Trigger a new security scan for a target

Example Prompts for Halo Security in Vercel AI SDK

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

01

"List all security issues with 'High' severity."

02

"Trigger a security scan for target ID 5592."

03

"Show me the risk score summary for our organization."

Troubleshooting Halo Security MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Halo Security + Vercel AI SDK FAQ

Common questions about integrating Halo Security 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 Halo Security to Vercel AI SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.