How do I find my HackEDU API Key?

Log in to your HackEDU Admin Dashboard and navigate to the API section. You will be able to generate and copy your unique X-API-Key from there.

Can I track the training progress of a specific team?

Yes! Use the `get_team_progress` tool by providing the unique team ID. The agent will return the completion percentage and status for that team.

What is 'Adaptive Training' in this integration?

Adaptive Training allows you to push real-world vulnerability findings (via `create_issue`) to HackEDU. The platform then automatically assigns relevant security lessons to developers to help them fix and prevent similar issues.

Is HackEDU now part of Security Journey?

Yes, HackEDU was acquired by Security Journey. This integration works with accounts from both brands using the same API infrastructure.

HackEDU (Security Journey) MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: HackEDU (Security Journey)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HackEDU (Security Journey) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hackedu-security-journey": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using HackEDU (Security Journey), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 HackEDU (Security Journey) MCP Server

Connect your HackEDU (now part of Security Journey) platform to any AI agent and take full control of your secure coding training workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HackEDU (Security Journey) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

User & Team Management — List all users and teams, retrieve detailed profiles, and check UUIDs for assignments.
Progress Tracking — Monitor individual and team training progress to ensure security compliance across your organization.
Content Insights — Browse the full catalog of available security training modules and lessons.
Vulnerability Integration — Access HackEDU’s vulnerability taxonomy mapped to CWE, CVE, and CAPEC standards.
Adaptive Training — Push issues from bug bounty programs or scanners to trigger personalized training plans for developers.
Reporting — Instantly retrieve summaries of security training health and identifying gaps in developer knowledge.

The HackEDU (Security Journey) MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 HackEDU (Security Journey) to LangChain via MCP

Follow these steps to integrate the HackEDU (Security Journey) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from HackEDU (Security Journey) via MCP

Why Use LangChain with the HackEDU (Security Journey) MCP Server

LangChain provides unique advantages when paired with HackEDU (Security Journey) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine HackEDU (Security Journey) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across HackEDU (Security Journey) queries for multi-turn workflows

HackEDU (Security Journey) + LangChain Use Cases

Practical scenarios where LangChain combined with the HackEDU (Security Journey) MCP Server delivers measurable value.

RAG with live data: combine HackEDU (Security Journey) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query HackEDU (Security Journey), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain HackEDU (Security Journey) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every HackEDU (Security Journey) tool call, measure latency, and optimize your agent's performance

HackEDU (Security Journey) MCP Tools for LangChain (10)

These 10 tools become available when you connect HackEDU (Security Journey) to LangChain via MCP:

create_issue

Create/Push a new vulnerability issue to trigger adaptive training

get_team_progress

Get the training progress for a specific team

get_user

Get detailed information about a specific user

get_user_progress

Get the training progress for a specific user

list_adaptive_training_plans

List adaptive training plans created based on vulnerability findings

list_content

List all available training modules and lessons

list_issues

List vulnerability issues synced from external sources (e.g., Bugcrowd, HackerOne)

list_teams

List all teams configured in HackEDU

list_users

List all users in your HackEDU account

list_vulnerabilities

List HackEDU vulnerability taxonomy (CWE/CVE/CAPEC mapping)

Example Prompts for HackEDU (Security Journey) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HackEDU (Security Journey) immediately.

"Show me the training progress for Team Alpha."

"List all security lessons related to SQL Injection."

"Create a new security issue for 'BOLA vulnerability found in API' with vulnerability ID 502."

Troubleshooting HackEDU (Security Journey) MCP Server with LangChain

Common issues when connecting HackEDU (Security Journey) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HackEDU (Security Journey) + LangChain FAQ

Common questions about integrating HackEDU (Security Journey) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.