How to Use the HackerOne MCP in AutoGen

Use AutoGen to debate bug bounty decisions and automate HackerOne operations through multi-agent consensus.

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Connect HackerOne MCP to AutoGen

Create your Vinkius account to connect HackerOne 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 HackerOne with AutoGen

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Multi-agent debate on HackerOne reports

One agent suggests a `change_report_state` action based on its triage analysis. Another agent challenges the decision, forcing a review of the report details. This prevents hasty closures. You build a system where the final decision to resolve a report is reached through debate between specialized agents.

Negotiate bounties using AutoGen

An agent proposes an award amount based on severity, while a budget agent reviews `list_payments` to ensure compliance. They discuss the final payout. This removes bias from your financial decisions. The agents use `award_bounty` only after they agree that the internal criteria have been satisfied.

Automate program oversight in AutoGen

Your security agent monitors `list_programs` for changes in scope. If it detects a new asset, it alerts the team for manual review. It keeps your program configuration up to date without human intervention. You create a loop where agents constantly check the API and update your internal state.

Setup guide

Set up HackerOne 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 HackerOne 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="HackerOne_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HackerOne 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="HackerOne_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HackerOne 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 HackerOne. 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 HackerOne MCP in AutoGen

Install the extension, configure your server endpoint, and pass the tools to your AssistantAgent. The adapter handles the schema mapping automatically.

Yes. Agents pass report context and tool outputs to each other during the conversation. This allows them to build a shared understanding of a security issue.

The server uses a zero-trust model. All communication is scoped to your specific API token, and no data is cached between agent sessions.

You decide the policy. You can set up a human-in-the-loop agent that reviews all `award_bounty` calls before they are executed against the API.

It operates in an ephemeral V8 sandbox. Each request is isolated, and the server does not store credentials or sensitive API traffic beyond the current transaction.

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