How to Use the HackerOne MCP in Vercel AI SDK

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

Install @ai-sdk/mcp and pass the HackerOne tools returned by the client directly into your Vercel AI SDK streamText function. This makes all ten security endpoints available to your model immediately.

Q: Can I use Vercel AI SDK to stream HackerOne hacker activity feeds?

Yes, you can call listhacktivity to fetch public HackerOne disclosures and stream them into your Vercel AI SDK feed components. This lets you build dynamic, real-time security dashboards that render public bug details on the fly.

Get real-time HackerOne vulnerability updates streaming directly into your Vercel AI SDK interface without annoying loading spinners.

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Connect HackerOne MCP to Vercel AI SDK

Create your Vinkius account to connect HackerOne 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 HackerOne with Vercel AI SDK

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Stream Live Vulnerability Reports in Next.js

The `list_reports` tool pulls live HackerOne submissions and pushes them straight to your Vercel AI SDK frontend. Since Vercel AI SDK supports direct UI streaming, your team sees incoming HackerOne security bugs populate their dashboard in real-time.

Interactive HackerOne Triage via MCP Server

The `change_report_state` tool lets your developers update a HackerOne report's status directly from an interactive Vercel AI SDK chat bubble. This means you do not have to leave your custom Vercel AI SDK admin panel to sync status changes back to the main HackerOne platform.

Track Financial Spend and Bounties Instantly

The `list_payments` tool retrieves your complete HackerOne program payout history to render historical spend charts on the edge using Vercel AI SDK. By running Vercel AI SDK on Edge Functions, your custom HackerOne dashboard avoids heavy server-side overhead while keeping financial data fresh.

Setup guide

Set up HackerOne 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 HackerOne 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 HackerOne transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HackerOne. 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 HackerOne MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and pass the HackerOne tools returned by the client directly into your Vercel AI SDK `streamText` function. This makes all ten security endpoints available to your model immediately.

Yes, you can call `list_hacktivity` to fetch public HackerOne disclosures and stream them into your Vercel AI SDK feed components. This lets you build dynamic, real-time security dashboards that render public bug details on the fly.

Absolutely, Vercel AI SDK is built to run on the edge, making calls to HackerOne tools like `list_programs` highly responsive. You get fast execution times because the MCP client communicates over lightweight HTTP protocols.

You can intercept the tool call in your Vercel AI SDK frontend code before executing the HackerOne `award_bounty` tool. This ensures your application displays a confirmation modal to a security manager before any cash leaves your account.

Vercel AI SDK processes raw HackerOne vulnerability reports and API credentials inside an isolated V8 sandbox on Vinkius. The MCP architecture ensures your credentials and report details are never cached or used to train public models.

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