How to Use the Wallarm MCP in OpenAI Agents SDK

Q: How do I see historical attack data with Wallarm and the openai-agents-sdk?

You use searchsecurityhits to pull granular details on blocked traffic. This lets your agent analyze full payloads, which is crucial for incident response.

Defend your APIs and automate security operations using the OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wallarm MCP to OpenAI Agents SDK

Create your Vinkius account to connect Wallarm 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.

GDPR Free for Subscribers

Setup Wallarm with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit network access rules

You can check what IPs are currently allowed or blocked by listing all configured rules. Use `list_ip_acl_rules` to see your existing allowlists and denylists. Need to block a bad IP range? Call `create_ip_acl_rule`. You specify the CIDR block and whether you want it on the 'white' (allow) or 'black' (deny) list. It’s super clean.

Investigate blocked traffic

When something gets blocked, you need proof. `search_security_hits` pulls full request headers and payloads for every malicious HTTP hit the WAF caught. That's deep forensic data. Don't just guess what happened. The tool lets your agent pinpoint exactly which vector was used against the endpoint.

Manage API vulnerabilities

When a vulnerability shows up, you need to track it. `search_vulnerabilities` gives you a list of all open security flaws detected in live traffic. It's your starting point. Once the team validates findings, you mark them using `update_vulnerability_status`. You can set the status to 'closed' or 'falsepositive', keeping the records accurate.

Setup guide

Set up Wallarm 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 Wallarm tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Wallarm 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="Wallarm Agent",
            instructions="You have access to Wallarm tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Wallarm. 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 Wallarm 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 Wallarm MCP in OpenAI Agents SDK

The OpenAI Agents SDK automatically discovers the available tools, so you don't write any boilerplate code. You just pass the MCP Server object to your agent constructor, and it handles the rest.

Your agents can automatically check for open vulnerabilities via `search_vulnerabilities` or adjust network rules by calling `create_ip_acl_rule`. It handles complex security workflows end-to-end.

You use `search_security_hits` to pull granular details on blocked traffic. This lets your agent analyze full payloads, which is crucial for incident response.

Yeah, it does. Besides managing vulnerabilities, you can also check what API inventory was passively discovered using `get_discovered_api_inventory`.

The server touches full request headers and payloads when you run `search_security_hits`. This is detailed traffic data, so treat it like sensitive logs.

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