Intruder MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Intruder through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Intruder Assistant",
instructions=(
"You help users interact with Intruder. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Intruder"
)
print(result.final_output)
asyncio.run(main())
* 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 Intruder MCP Server
Empower your AI agents to manage your cybersecurity posture with Intruder.io. This MCP server allows you to list security targets, track vulnerability scans, retrieve identified issues, and monitor cloud integrations directly through the Intruder API. Ideal for automating DevSecOps workflows and security auditing.
The OpenAI Agents SDK auto-discovers all 10 tools from Intruder through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Intruder, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
The Intruder 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 Intruder to OpenAI Agents SDK via MCP
Follow these steps to integrate the Intruder 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 Intruder
Why Use OpenAI Agents SDK with the Intruder MCP Server
OpenAI Agents SDK provides unique advantages when paired with Intruder 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
Intruder + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Intruder MCP Server delivers measurable value.
Automated workflows: build agents that query Intruder, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Intruder, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Intruder tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Intruder to resolve tickets, look up records, and update statuses without human intervention
Intruder MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Intruder to OpenAI Agents SDK via MCP:
get_account
Use to verify identity and account settings. Gets your Intruder account details
get_issue
Returns detailed descriptions, remediation advice, and affected targets. Essential for investigating and fixing security flaws. Retrieves details for a specific issue
get_scan
Returns the list of targets included, scan duration, and a summary of findings. Use this to audit the results of a specific security assessment. Retrieves details for a specific scan
get_target
Returns metadata and associated tags. Use this to deep-dive into the security status of a specific asset. Retrieves details for a specific target
list_cloud_integrations
Essential for auditing how Intruder discovers new targets in the cloud infrastructure. Lists all configured cloud integrations (AWS, Azure, Google Cloud)
list_issues
Returns issue titles, severity levels (Low, Medium, High, Critical), and status. Use this as the primary tool for security posture auditing. Lists all identified vulnerability issues
list_licences
Useful for verifying subscription status and capacity. Lists all account licences
list_scans
Includes scan types, timestamps, and IDs. Essential for tracking scan frequency and monitoring ongoing security checks. Lists all vulnerability scans
list_targets
Returns target names, IDs, and types. Use this to identify which assets are being scanned for vulnerabilities. Lists all infrastructure and application targets
list_teams
Useful for understanding organizational access controls. Lists all organization teams
Example Prompts for Intruder in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Intruder immediately.
"List all active targets in my Intruder account."
"Show me the latest vulnerability issues found."
"Check the status of my recent scans."
Troubleshooting Intruder MCP Server with OpenAI Agents SDK
Common issues when connecting Intruder to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Intruder + OpenAI Agents SDK FAQ
Common questions about integrating Intruder MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Intruder with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Intruder to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.