How to Use the 42Crunch MCP in AutoGen

Enable multi-agent debate on API security risks using the 42Crunch MCP Server and AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect 42Crunch MCP to AutoGen

Create your Vinkius account to connect 42Crunch 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.

GDPR Free for Subscribers

Setup 42Crunch with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate security scores with AutoGen

Let a security agent call `get_api` to check a score while a developer agent argues for deployment. They use the platform data to reach a consensus on whether the API is ready for production. This approach stops the 'ship it now' mentality by forcing agents to look at the actual audit findings. It makes security a collaborative, evidence-based process.

Automated audit negotiation in AutoGen

Trigger a fresh `trigger_audit` when a spec change is detected. The agents discuss the new report and decide if the updated definition meets your security requirements. It handles the back-and-forth between scanning and reporting. You get a team of agents that manage the full audit lifecycle without you needing to step in.

Manage API collections through AutoGen agents

Task your agents with maintaining platform organization by calling `list_collections`. They identify orphan APIs or missing scans and propose actions to fix the gaps. This MCP Server provides the tools your agents need to audit the audit process itself. You maintain platform hygiene by letting agents handle the repetitive management tasks.

Setup guide

Set up 42Crunch 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 42Crunch 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="42Crunch_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 42Crunch data")
print(result.messages[-1].content)

Get your connection token →

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="42Crunch_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 42Crunch 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 42Crunch. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect 42Crunch now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about 42Crunch MCP in AutoGen

The agents share the tool outputs in their conversation history. This allows the security agent to challenge the performance agent based on the actual audit data.

Yes, once the agents agree that a scan is necessary, they invoke `trigger_audit`. The resulting report then becomes part of the ongoing conversation for further analysis.

The server tools integrate natively with the agent orchestrator. Each agent can call the functions as needed to gather information for their specific role in the discussion.

You define the tool capabilities within the agent setup. The agents then 'know' when to call `get_scan_report` versus `get_audit_report` based on the context of their debate.

All interactions happen within your local or managed environment. The 42Crunch server acts as a secure gateway, ensuring that only the authorized agent roles see the sensitive API definition details.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript