How to Use the HackEDU (Security Journey) MCP in OpenAI Agents SDK

Q: Is tool caching supported for performance optimization?

Yes, set cacheToolsList=True in your server configuration parameter. This stops the agent from making unnecessary network requests to fetch the list of 10 HackEDU MCP tools on every single turn, keeping response times low.

Trigger target security training based on live vulnerabilities using OpenAI Agents SDK with strict safety guardrails.

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Connect HackEDU (Security Journey) MCP to OpenAI Agents SDK

Create your Vinkius account to connect HackEDU (Security Journey) to OpenAI Agents 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 OpenAI Agents SDK

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Target training using OpenAI Agents SDK

Your OpenAI agents can now assign specific lessons directly when they detect a vulnerability. By executing `create_issue`, the agent sets up a real-time training trigger inside HackEDU. This means developers receive immediate, context-specific training rather than waiting for quarterly compliance reviews. The agent checks current assignments via `list_adaptive_training_plans` to avoid duplicating tasks. It coordinates this with safety guardrails, verifying that training paths match the developer's exact tech stack before making any API modifications.

Track developer progress through agent handoffs

Keep tabs on how your engineering teams are handling their security lessons. Specialized agents query `get_team_progress` to fetch completion rates, passing the raw data to a reporting agent for analysis. This lets you identify which teams are falling behind on critical security skills. If a team shows lagging completion rates, the agent uses `list_users` to pinpoint individuals who need reminders. It reads their specific status using `get_user_progress` without exposing raw credentials, ensuring your security posture remains visible without manual spreadsheets.

Map live vulnerabilities using this MCP Server

Connect real-world security bugs to interactive learning modules instantly. The agent queries `list_vulnerabilities` to find the exact CWE or CVE code associated with an incoming ticket. It then matches that bug to the correct educational module using the `list_content` tool. This MCP Server allows your agent to construct a precise, automated remediation path. Instead of manually searching for relevant training, your workflow automatically pairs code vulnerabilities with the exact lessons needed to fix them.

Setup guide

Set up HackEDU (Security Journey) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all HackEDU (Security Journey) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HackEDU (Security Journey) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate HackEDU (Security Journey) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="HackEDU (Security Journey) Agent",
            instructions="You have access to HackEDU (Security Journey) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about HackEDU (Security Journey) MCP in OpenAI Agents SDK

You configure authentication via the Vinkius platform, which provides a single endpoint token. In your Python code, pass this token inside the `MCPServerStreamableHttpParams` URL. The OpenAI Agents SDK automatically discovers the 10 MCP tools, including `list_users` and `list_vulnerabilities`, without requiring manual header setup.

Yes, that is a core strength of this SDK. One agent can monitor vulnerabilities using `list_issues`, then hand off the context to a training agent that triggers `create_issue` to assign targeted modules. This keeps your security automation modular and easy to debug.

The SDK lets you define validation hooks before any tool execution. When an agent attempts to run `create_issue`, the SDK validates the payload to ensure it matches your exact team structure. This prevents the agent from making unwanted changes or assigning incorrect training plans.

Yes, set `cacheToolsList=True` in your server configuration parameter. This stops the agent from making unnecessary network requests to fetch the list of 10 HackEDU MCP tools on every single turn, keeping response times low.

Your team's progress metrics, user names, and vulnerability records remain contained within the Vinkius V8 isolate sandbox. Vinkius secures these data types by executing the MCP server in an ephemeral environment, preventing any persistent storage of your HackEDU training records or user lists.

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