How to Use the Fluxguard MCP in OpenAI Agents SDK

Q: Does the OpenAI Agents SDK cache the Fluxguard tool list?

Yes. Set cacheToolsList=True in your configuration to prevent redundant schema lookups on every agent turn. This keeps your response times low.

Q: Can an agent auto-resolve alerts using Fluxguard and OpenAI Agents SDK?

Yes. The agent calls listalerts to find issues, analyzes the diffs, and executes acknowledgealert to close them. You can set strict guardrails to limit this auto-resolution to specific domains.

Q: What happens if a crawl fails during an agent run?

If initiatecrawl returns an error, the agent catches the exception and can retry or escalate. You can trace the failure path directly in your OpenAI developer dashboard.

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Connect Fluxguard MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fluxguard to OpenAI Agents SDK 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 Fluxguard with OpenAI Agents SDK

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Automate site crawls with OpenAI Agents SDK

The `initiate_crawl` tool triggers immediate visual and code-level scans of your monitored web properties. Your deployed OpenAI agents use this tool to start a check the second an external trigger fires, skipping manual scheduling entirely. Once the scan completes, the agent uses `list_snapshots` to inspect the raw visual state of the page. This lets your system catch unauthorized modifications or broken layouts before your users do.

Safe change validation and alert triaging

The `list_alerts` tool pulls pending security alerts directly into your agent's decision loop. Because the OpenAI Agents SDK supports runtime guardrails, you can verify that your agent only reviews changes within its assigned scope. To resolve alerts, the agent calls `get_change` to inspect the exact diff. If the change is benign, the agent executes `acknowledge_alert` to clear the queue, keeping your security dashboard clean.

Dynamic scope management via MCP Server tools

The `add_page` tool registers new target URLs on the fly based on incoming security tickets. Your agent handles the setup, ensuring new assets are monitored without requiring manual developer configuration. To keep things organized, the agent calls `create_category` to group related URLs. It then verifies the setup using `list_sites` and `list_categories` to confirm the monitoring scope is accurate.

Setup guide

Set up Fluxguard MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Fluxguard tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Fluxguard tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fluxguard tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Fluxguard Agent",
            instructions="You have access to Fluxguard tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Fluxguard MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the MCP server using `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass this server object in the `mcp_servers` list when instantiating your agent.

Yes. Set `cacheToolsList=True` in your configuration to prevent redundant schema lookups on every agent turn. This keeps your response times low.

Yes. The agent calls `list_alerts` to find issues, analyzes the diffs, and executes `acknowledge_alert` to close them. You can set strict guardrails to limit this auto-resolution to specific domains.

If `initiate_crawl` returns an error, the agent catches the exception and can retry or escalate. You can trace the failure path directly in your OpenAI developer dashboard.

Visual snapshots and HTML DOM data are processed inside Vinkius's isolated sandbox. Only metadata and requested diffs are sent to your agent, keeping your internal network structure secure.

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