Can I block a malicious IP address directly from my agent?

Yes. Using the `create_ip_acl_rule` tool, you can immediately add an IP or CIDR range to your global denylist (black list) to mitigate threats as soon as they are identified during your security audit.

Is it possible to triage vulnerabilities and change their status via chat?

Absolutely. You can use `update_vulnerability_status` to change a vulnerability's lifecycle status (e.g., to closed or false positive) once you have investigated it or applied remediation steps.

Wallarm MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Wallarm
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Wallarm through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Wallarm Assistant",
            instructions=(
                "You help users interact with Wallarm. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Wallarm"
        )
        print(result.final_output)

asyncio.run(main())

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IAMAccess control

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Wallarm MCP Server

Connect your Wallarm account to any AI agent and secure your API infrastructure through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Wallarm through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Wallarm, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Security Attacks — Monitor and search for active security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)
Granular Hits — Perform deep forensics by searching for individual malicious HTTP request hits with full payloads
Vulnerability Management — List and triage security vulnerabilities discovered in live API traffic directly from your agent
API Inventory — Retrieve the automatically discovered API inventory to see all exposed endpoints and methods
Filtering Nodes — Verify the health and heartbeat status of your deployed WAF and API gateway filtering nodes
IP Control — Audit and manage IP allowlist/denylist rules to immediately block malicious sources or allow trusted partners
Remediation Guidance — Access comprehensive diagnostic data and CWE mappings for specific vulnerabilities

The Wallarm MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Wallarm to OpenAI Agents SDK via MCP

Follow these steps to integrate the Wallarm MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Wallarm

Why Use OpenAI Agents SDK with the Wallarm MCP Server

OpenAI Agents SDK provides unique advantages when paired with Wallarm through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Wallarm + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Wallarm MCP Server delivers measurable value.

Automated workflows: build agents that query Wallarm, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Wallarm, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Wallarm tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Wallarm to resolve tickets, look up records, and update statuses without human intervention

Wallarm MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Wallarm to OpenAI Agents SDK via MCP:

create_ip_acl_rule

list_type must be "white" or "black". Adds an IP or CIDR range to the global allowlist or denylist

get_client_info

Retrieves details about the Wallarm account, subscription, and feature status

get_discovered_api_inventory

Retrieves the API inventory automatically discovered through passive traffic analysis

get_vulnerability_details

Retrieves comprehensive diagnostic data and exploit evidence for a specific vulnerability ID

list_filtering_nodes

Lists all deployed Wallarm WAF/API gateway filtering nodes

list_ip_acl_rules

Lists configured IP allowlist and denylist rules

search_security_attacks

Searches for security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)

search_security_hits

Shows full request headers and payloads for blocked traffic. Searches for granular individual malicious HTTP request hits intercepted by WAF nodes

search_vulnerabilities

Lists all open security vulnerabilities discovered in live API traffic

update_vulnerability_status

Valid statuses: open, closed, falsepositive. Changes the lifecycle status of a vulnerability (e.g., mark as closed or false positive)

Example Prompts for Wallarm in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Wallarm immediately.

"List all security attacks detected in the last hour."

"Block the malicious IP address 1.2.3.4 immediately."

"What vulnerabilities are currently open in our production API?"

Troubleshooting Wallarm MCP Server with OpenAI Agents SDK

Common issues when connecting Wallarm to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Wallarm + OpenAI Agents SDK FAQ

Common questions about integrating Wallarm MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.