How to Use the Halo Security MCP in Vercel AI SDK

Q: How do I connect the Halo Security MCP Server to my Vercel AI SDK project?

Install @ai-sdk/mcp and ai, then initialize the client with your Vinkius HTTP endpoint. Pass the tools generated by mcpClient.tools() into streamText to let your LLM call endpoints like listtargets on the fly.

Q: Can I stream live scanning updates using Vercel AI SDK and Halo Security?

Yes. Your application can call triggerscan and immediately stream the status updates. The client UI renders the progress of the active scan by polling listscans without blocking the main browser thread.

Q: Can my AI agent automatically calculate risk trends in the UI?

Yes. The agent calls getsecurityrisk to pull raw scores and trend data, which the SDK then pipes directly into your frontend charting library for instant, visual risk tracking.

Pipe live Halo Security vulnerability feeds directly into your Vercel AI SDK frontend without lag.

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Connect Halo Security MCP to Vercel AI SDK

Create your Vinkius account to connect Halo Security to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Halo Security with Vercel AI SDK

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Real-time vulnerability streaming in Vercel AI SDK

Stop making users wait for slow security reports to compile. This Halo Security MCP Server lets your LLM fetch active vulnerability lists using `list_issues` and stream the results directly to your Next.js UI as they arrive. By mapping `get_issue` to your streaming components, your interface renders critical security flaws block-by-block. Developers see the exact risk profile and remediation steps instantly, bypassing traditional loading spinners entirely.

Live asset discovery on Edge Functions

Spin up lightweight target tracking on Vercel's global edge network. Your AI agent can invoke `add_target` to immediately register new domains the moment they are deployed, keeping your attack surface updated in real-time. Because this MCP Server runs in Vinkius's secure sandbox, your edge functions stay fast and secure. The agent pulls active technologies with `list_technologies` to flag outdated stack components before they hit production.

On-demand port and cert audits

Give your engineering team a chat-driven security dashboard using this MCP Server. The Vercel AI SDK coordinates with `list_open_ports` and `list_certificates` to display active network exposures and expiring TLS setups inside your developer console. If something looks off, your agent triggers an active scan using `trigger_scan` on the fly. The UI updates live as the platform records the scan history via `list_scans`, making security audits as interactive as a Slack thread.

Setup guide

Set up Halo Security MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Halo Security tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Halo Security transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Halo Security. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Halo Security MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai`, then initialize the client with your Vinkius HTTP endpoint. Pass the tools generated by `mcpClient.tools()` into `streamText` to let your LLM call endpoints like `list_targets` on the fly.

Yes. Your application can call `trigger_scan` and immediately stream the status updates. The client UI renders the progress of the active scan by polling `list_scans` without blocking the main browser thread.

The SDK manages asynchronous tool calls efficiently, but you should throttle rapid requests to `list_dns_records` or `list_open_ports`. Vinkius handles the underlying connection, ensuring your serverless functions don't time out during heavy security audits.

Yes. The agent calls `get_security_risk` to pull raw scores and trend data, which the SDK then pipes directly into your frontend charting library for instant, visual risk tracking.

Your DNS records, open ports, and vulnerability logs are protected by Vinkius's zero-trust V8 sandbox. No sensitive API keys for your target assets are exposed to the browser, keeping your attack surface data isolated and encrypted.

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