StackHawk 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 StackHawk through 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="StackHawk Assistant",
instructions=(
"You help users interact with StackHawk. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from StackHawk"
)
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 StackHawk MCP Server
Integrate the robust dynamic application security testing (DAST) capabilities of StackHawk directly into your conversational AI. Empower your engineering team to monitor system vulnerabilities, initiate complex scans, and orchestrate proactive security protocols without relying heavily on static dashboards. Connect securely to your workspaces, instruct your AI to assess ongoing security threats, and automatically classify alerts through a natural language interface designed to accelerate risk remediation across modern CI/CD pipelines.
The OpenAI Agents SDK auto-discovers all 10 tools from StackHawk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries StackHawk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Automated Scanning — Programmatically initiate comprehensive security evaluations across your environments utilizing
run_scan, and halt operations securely targeting specific execution UUIDs viastop_scan. - Risk Assessment — Effectively audit environments by listing operational scans with
list_scans, or retrieve deep vulnerability reports invokingget_alertstargeting specific scan iterations. - Application Management — Catalog active software deployments monitored by StackHawk utilizing
list_applications, and manage organizational parameters inspecting environments directly vialist_environments. - Triage & Operations — Authenticate securely establishing a valid operational bearer token with
login, and instruct the AI to accurately qualify, dismiss, or assign statuses prioritizing critical mitigation efforts usingtriage_alert.
The StackHawk 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 StackHawk to OpenAI Agents SDK via MCP
Follow these steps to integrate the StackHawk 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 StackHawk
Why Use OpenAI Agents SDK with the StackHawk MCP Server
OpenAI Agents SDK provides unique advantages when paired with StackHawk 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
StackHawk + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the StackHawk MCP Server delivers measurable value.
Automated workflows: build agents that query StackHawk, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries StackHawk, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through StackHawk tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query StackHawk to resolve tickets, look up records, and update statuses without human intervention
StackHawk MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect StackHawk to OpenAI Agents SDK via MCP:
get_application_details
Get detailed configuration for a specific StackHawk application
get_organization_details
Get StackHawk organization details and subscription tier
get_scan_alerts
Download individual security alerts discovered by a DAST scan
get_scan_results
Get detailed results and metadata for a specific DAST scan
list_api_keys
Useful for auditing and hygiene. List API keys configured for a StackHawk organization
list_applications
Requires a Bearer token and organization ID. List all registered DAST applications in a StackHawk organization
list_environments
g., Development, Staging, Production) configured on the application. List configured scan environments for a StackHawk application
list_scans
Includes scan IDs and high-level alert counts. List all DAST scan executions for a StackHawk application
login
This token is required for all subsequent StackHawk tool calls. Authenticate and obtain a Bearer access token from StackHawk
triage_alert
Valid statuses: RISK_ACCEPTED, FALSE_POSITIVE, IN_PROGRESS. Triage a DAST security alert (accept risk, false positive, etc.)
Example Prompts for StackHawk in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with StackHawk immediately.
"Log in with my API token, list my projects and environments, then show the critical vulnerabilities from the latest scan."
"Run a new scan against the Production application."
Troubleshooting StackHawk MCP Server with OpenAI Agents SDK
Common issues when connecting StackHawk to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
StackHawk + OpenAI Agents SDK FAQ
Common questions about integrating StackHawk 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 StackHawk 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 StackHawk to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.