How to Use the Contrast Security MCP in AutoGen

Q: How do agents debate Contrast Security findings in AutoGen?

Agents share tool outputs like listcriticalvulnerabilities in the conversation history. They then critique each other’s assessment of the data to reach a consensus.

Let your AutoGen agents debate security risks using live data from this MCP Server.

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Connect Contrast Security MCP to AutoGen

Create your Vinkius account to connect Contrast 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.

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Setup Contrast Security with AutoGen

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Debate security risks in AutoGen

Assign one agent to call `list_critical_vulnerabilities` while another reviews the findings. They negotiate which threats require immediate patching. This MCP Server enables consensus-driven triage. Your agents challenge each other's conclusions until they agree on the severity of a specific trace.

Automate user and server management

Have your agents monitor access by calling `list_organization_users`. If an unauthorized user appears, the agents trigger a security alert. Your agents use `list_monitored_servers` to verify coverage. They ensure all production environments align with your security standards through group discussion.

Validate application security status

Use `get_application_details` to provide facts during your agent debates. One agent presents the data, the other verifies the compliance status. This MCP Server keeps your agents aligned. They use the tool outputs to reach a final, verified decision on your organization's security health.

Setup guide

Set up Contrast 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Contrast Security tools and returns structured results.

agent.py

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="Contrast Security_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Contrast Security data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Contrast Security_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Contrast Security data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Contrast 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 Contrast Security MCP in AutoGen

Agents share tool outputs like `list_critical_vulnerabilities` in the conversation history. They then critique each other’s assessment of the data to reach a consensus.

Yes. You can provide the tools to your AssistantAgent, allowing the conversation participants to query your organization's security metadata as needed.

The McpToolAdapter handles the connection to the server. You just pass the tools to your agent constructors and the framework handles the schema translation.

Your organizational metadata, such as user lists and server names, is transferred over an encrypted channel. The server does not store this information, maintaining your data privacy.

Only your local agent group has access to the vulnerability details retrieved. The server acts as a transient bridge to your security account and discards the traces after delivery.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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