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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HackEDU (Security Journey) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to HackEDU (Security Journey) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HackEDU (Security Journey)?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every HackEDU (Security Journey) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from HackEDU (Security Journey) with type-safe schemas

Why Use Pydantic AI with the HackEDU (Security Journey) MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HackEDU (Security Journey) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your HackEDU (Security Journey) connection logic from agent behavior for testable, maintainable code

HackEDU (Security Journey) + Pydantic AI Use Cases

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

Type-safe data pipelines: query HackEDU (Security Journey) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple HackEDU (Security Journey) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query HackEDU (Security Journey) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock HackEDU (Security Journey) responses and write comprehensive agent tests

HackEDU (Security Journey) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect HackEDU (Security Journey) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HackEDU (Security Journey) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your HackEDU (Security Journey) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.