How to Use the HackEDU (Security Journey) MCP in Vercel AI SDK

Q: Does HackEDU (Security Journey) expose user training stats to Vercel AI SDK?

It does. You can call getuserprogress to pull specific completion metrics for any developer in your system. This data is delivered directly to your frontend for real-time rendering.

Stream HackEDU (Security Journey) vulnerability data directly into your Vercel AI SDK frontends for real-time security insights.

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Connect HackEDU (Security Journey) MCP to Vercel AI SDK

Create your Vinkius account to connect HackEDU (Security Journey) 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 HackEDU (Security Journey) with Vercel AI SDK

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Live vulnerability tracking in your UI

Feed live vulnerability data into your React or Next.js components by calling `list_vulnerabilities`. Your AI client renders security findings as they are fetched, avoiding stale dashboard states. This setup ensures your users see the exact CWE or CVE mappings the moment they hit the screen. It turns raw security data into a visible, interactive part of your application.

Automated training triggers for users

Trigger `create_issue` directly from your edge functions when your agent identifies a training gap. This pushes specific remediation tasks to developers without leaving your interface. Pair this with `list_adaptive_training_plans` to show the user exactly what they need to study next. It keeps the feedback loop tight and focused on immediate improvement.

Manage team progress with MCP Server tools

Query `get_team_progress` to display real-time completion stats within your custom admin panels. You see exactly how teams are performing across your security modules. Use `list_teams` and `get_user_progress` to build drill-down views. It gives you the full picture of your organization's security posture without jumping between different browser tabs.

Setup guide

Set up HackEDU (Security Journey) 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 HackEDU (Security Journey) 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 HackEDU (Security Journey) transactions",
});

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

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Common questions about HackEDU (Security Journey) MCP in Vercel AI SDK

Install the MCP client packages and initialize the connection using the Vercel AI SDK transport configuration. Once connected, map the tools into your agent's tool set to start executing commands.

Yes. Use the streaming capabilities of the SDK to process results from `list_vulnerabilities` as they arrive. This prevents your UI from hanging while the server gathers data.

It does. You can call `get_user_progress` to pull specific completion metrics for any developer in your system. This data is delivered directly to your frontend for real-time rendering.

The server transmits data over encrypted channels. You handle auth via your standard provider, ensuring that only authorized agents can access sensitive progress records.

The server shares user progress, vulnerability mappings, and training plan details. It does not expose raw credential files or internal system logs.

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