How to Use the Halo Security MCP in AutoGen
Let your AutoGen security and development agents debate risk priority and automate target scanning in real time.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Halo Security MCP to AutoGen
Create your Vinkius account to connect Halo Security 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.
Multi-agent security debate and triage
Build a multi-agent workflow where a security agent calls `get_security_risk` and `list_issues` to debate risk priority with a developer agent. The security agent analyzes threats and presents the raw vulnerability findings to the developer agent to demand a fix. Meanwhile, the developer agent can check `list_technologies` to see if a reported library is actually active or just a false positive. This debate ensures your team only spends time fixing real, verified risks instead of chasing phantom warnings.
Automated target onboarding with AutoGen MCP Server
When your infrastructure agent provisions a new server, the security agent uses `add_target` to register the host for monitoring immediately. It then calls `trigger_scan` to establish a security baseline before the server goes live. Once the scan finishes, the agent checks `list_scans` and pulls any immediate findings using `list_issues`. If any critical exposures are found, the agent can automatically alert your DevOps channel to halt the deployment.
Continuous perimeter monitoring via agents
Set up an autonomous agent loop that calls `list_dns_records` and `list_open_ports` to detect unapproved changes in your public perimeter. The agent compares these findings against your baseline policy. If it discovers an unauthorized port, it calls `get_issue` to evaluate the severity. The agent can then coordinate with your firewall agent to close the port or flag it for manual review by your security team.
Set up Halo Security 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 Halo Security 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="Halo Security_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Halo Security 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="Halo Security_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Halo Security 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 Halo Security. 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 Halo Security MCP in AutoGen
Use it with your favorite AI tools
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