How to Use the HackEDU (Security Journey) MCP in AutoGen
Let your AutoGen agents debate and coordinate developer training assignments via this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HackEDU (Security Journey) MCP to AutoGen
Create your Vinkius account to connect HackEDU (Security Journey) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Collaborative Security Auditing with AutoGen
The `list_issues` tool feeds active security vulnerabilities directly into your AutoGen multi-agent system for group analysis. A security-focused agent can review these issues, while a project manager agent checks developer availability using `get_user`. Together, they negotiate whether to assign training immediately or postpone it to the next sprint. This cooperative setup prevents you from overwhelming your engineering team with automated training requests. The agents use the server to pull context, debate the urgency of the vulnerability, and only trigger `create_issue` when they reach a consensus. It replaces dumb automation with smart, context-aware decisions.
Multi-Agent Training Strategy and Content Selection
The `list_content` tool allows your AutoGen agents to browse the entire library of available security lessons to find the perfect match for a code bug. One agent can analyze the CWE details retrieved from `list_vulnerabilities`, while another agent searches the training catalog. They collaborate to find the most targeted lesson, ensuring developers don't waste time on generic training. Once they agree on the best course of action, they can check `list_adaptive_training_plans` to see if a suitable plan already exists. If not, they coordinate to draft a new training path tailored to the specific team. This ensures your training curriculum is always aligned with the actual vulnerabilities found in your code.
Automated Team Performance Reviews via MCP Server
The `get_team_progress` tool provides the raw metrics that your AutoGen agents need to run automated compliance reviews. An auditor agent can query team progress, while a coaching agent drafts personalized encouragement emails for developers who are falling behind. They work together to improve completion rates without requiring manual tracking from your security team. This MCP Server integrates with AutoGen's conversational patterns, allowing the agents to ask each other for clarification before updating records. If the auditor agent notices low completion rates via `get_user_progress`, it can prompt the team lead agent to investigate. This creates a self-managing compliance system that keeps your team on track.
Set up HackEDU (Security Journey) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes HackEDU (Security Journey) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="HackEDU (Security Journey)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HackEDU (Security Journey) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="HackEDU (Security Journey)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HackEDU (Security Journey) data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HackEDU. 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 HackEDU (Security Journey) MCP in AutoGen
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