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Vinkius

StackHawk MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add StackHawk as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="stackhawk_agent",
    instruction=(
        "You help users interact with StackHawk "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
StackHawk
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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 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.

Google ADK natively supports StackHawk as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 via stop_scan.
  • Risk Assessment — Effectively audit environments by listing operational scans with list_scans, or retrieve deep vulnerability reports invoking get_alerts targeting specific scan iterations.
  • Application Management — Catalog active software deployments monitored by StackHawk utilizing list_applications, and manage organizational parameters inspecting environments directly via list_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 using triage_alert.

The StackHawk MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Google ADK via MCP

Follow these steps to integrate the StackHawk MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from StackHawk via MCP

Why Use Google ADK with the StackHawk MCP Server

Google ADK provides unique advantages when paired with StackHawk through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with StackHawk

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine StackHawk tools with BigQuery, Vertex AI, and Cloud Functions

StackHawk + Google ADK Use Cases

Practical scenarios where Google ADK combined with the StackHawk MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query StackHawk and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine StackHawk tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query StackHawk regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including StackHawk

StackHawk MCP Tools for Google ADK (10)

These 10 tools become available when you connect StackHawk to Google ADK via MCP:

01

get_application_details

Get detailed configuration for a specific StackHawk application

02

get_organization_details

Get StackHawk organization details and subscription tier

03

get_scan_alerts

Download individual security alerts discovered by a DAST scan

04

get_scan_results

Get detailed results and metadata for a specific DAST scan

05

list_api_keys

Useful for auditing and hygiene. List API keys configured for a StackHawk organization

06

list_applications

Requires a Bearer token and organization ID. List all registered DAST applications in a StackHawk organization

07

list_environments

g., Development, Staging, Production) configured on the application. List configured scan environments for a StackHawk application

08

list_scans

Includes scan IDs and high-level alert counts. List all DAST scan executions for a StackHawk application

09

login

This token is required for all subsequent StackHawk tool calls. Authenticate and obtain a Bearer access token from StackHawk

10

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 Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with StackHawk immediately.

01

"Log in with my API token, list my projects and environments, then show the critical vulnerabilities from the latest scan."

02

"Run a new scan against the Production application."

Troubleshooting StackHawk MCP Server with Google ADK

Common issues when connecting StackHawk to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

StackHawk + Google ADK FAQ

Common questions about integrating StackHawk MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect StackHawk to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.