StackHawk MCP. Automate vulnerability scans and triage alerts.
StackHawk connects your AI client to the StackHawk DAST platform. This MCP lets you run automated security scans, find vulnerabilities, and manage alerts without leaving your chat interface. It turns complex security protocols into simple natural language commands for effortless risk assessment.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
Start comprehensive DAST audits against specific environments or halt running scans when they are finished.
Retrieve a complete list of all monitored applications and the different operational environments (like Staging or Production) for any given app.
Fetch detailed metadata about past scans, or download individual security alerts to understand exactly what was found.
Instruct the system to review a specific vulnerability alert and assign it a status like 'false positive' or 'risk accepted'.
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What AI agents can do with StackHawk: 10 Tools for Security Management
These tools allow you to manage scan executions, view application assets, fetch detailed results, and triage security alerts directly through your AI agent.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using StackHawk MCPGet Application Details
Retrieves detailed configuration information for a specific StackHawk application.
Get Organization Details
Gets overall details about your StackHawk organization, including subscription tier...
Get Scan Alerts
Downloads specific security alerts discovered during a DAST scan run.
Get Scan Results
Provides detailed results and metadata for any given DAST scan execution.
List Applications
Lists all registered DAST applications within your entire StackHawk organization.
List Environments
Shows all configured environments (like Development, Staging, Production) available for an application scan.
List Api Keys
Lists all API keys set up in the organization, useful for auditing access hygiene.
List Scans
Displays a list of all DAST scan executions, including high-level alert counts.
Login
Authenticates with StackHawk and obtains the necessary bearer access token for...
Triage Alert
Changes the status of a specific DAST security alert to 'false positive', 'risk...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The StackHawk integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with StackHawk, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by StackHawk. 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.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Security audits are painful. They require too much switching and clicking.
Today, running a basic security assessment feels like juggling five different dashboards. You start in the main portal to find your application ID. Then you switch to an environment manager tab to select 'Staging.' After that, you hit the scan button, wait for it to finish, and then jump into a separate alerts panel just to count how many high-risk findings showed up. It’s time-consuming clicking.
With this MCP, all those steps disappear. You simply tell your agent: 'Run a full DAST audit on Staging.' The system handles the authentication, targets the correct environment using `list_environments`, runs the scan via `run_scan`, and reports back the results directly in text. You get security findings without the dashboard clutter.
Using StackHawk MCP gives you immediate control over vulnerability triage.
Manual remediation involves downloading dozens of individual alerts from different scans and then manually reviewing each one to see if it’s a genuine threat or just a false positive. This is where the process grinds to a halt.
Now, you can instruct your agent: 'Review the latest findings and classify any known false positives.' The system uses `get_scan_alerts` and then executes `triage_alert`, immediately updating the status of those vulnerabilities right from your chat. It's instant risk management.
What StackHawk MCP does for your AI
Security testing shouldn't mean juggling dashboards and running command-line tools just to check for basic vulnerabilities. This connector gives your AI client direct access to StackHawk’s dynamic application security testing (DAST) capabilities. You can ask your agent to assess a live environment, list all registered applications, or get the full details of a specific scan run using simple conversation.
When you need to check for threats, you don't have to manually navigate through multiple reports. Simply instruct your AI client to find critical alerts from a recent test and then classify them—say, marking a false positive or accepting the risk. This capability accelerates remediation across modern CI/CD pipelines. All this power is accessible through Vinkius, making it one place for all your connected services.
Your agent handles the complex authentication and data retrieval so you just get actionable security insights.
019d760c-df45-716e-9823-f90ebe3681f4 
How to set up StackHawk MCP
The bottom line is that your AI client handles the complex API calls and data parsing, allowing you to manage advanced security operations using natural language only.
First, authenticate your connection by using the login tool to get a valid bearer token for StackHawk.
Next, ask your AI client to list applications (list_applications) or environments (list_environments) to scope out what needs scanning.
Finally, instruct the agent with specific commands—for example, 'Run a scan on Production and then triage any high-risk alerts'—to execute actions.
Who uses StackHawk MCP
This MCP is essential for DevSecOps Engineers and Backend Developers who are tired of switching between multiple dashboards (StackHawk, Jira, CI/CD logs) just to get a clear picture of application risk. It’s built for people who need security checks integrated directly into their workflow.
Uses the MCP to programmatically initiate scans, check organizational compliance metrics via list_api_keys, and automatically classify high-priority alerts using triage_alert.
Connects with the agent to quickly review security regression findings after a microservice deployment, parsing results directly into their terminal window.
Uses the MCP to audit cross-application threat landscapes by listing all monitored applications (list_applications) and reviewing overall compliance status.
Benefits of connecting StackHawk MCP
You don't have to jump between dashboards. Your AI client lets you start a scan, review the list_scans results, and then immediately pull detailed findings using get_scan_alerts, all without switching tabs.
Stop spending time manually classifying risks. After a scan, simply tell your agent to review critical alerts and use triage_alert to mark known false positives or accept the risk on high-priority items.
Gain visibility into every part of your stack. Use list_applications and list_environments to get a complete inventory of every service you're monitoring, ensuring nothing gets overlooked in compliance checks.
Audit credentials easily. The list_api_keys tool lets you check which API tokens are active across the organization, improving overall security hygiene without manual database lookups.
Keep your development flow going. Instead of pausing work to run a scan, you can instruct the agent to initiate it using run_scan, and then track its progress using list_scans while continuing other tasks.
Get deep data instantly. If you need full metadata on what was found, use get_scan_results. This tool provides more detail than just an alert count, giving the engineering team actionable context.
StackHawk MCP use cases
Responding to a Major Incident
An engineer notices unusual behavior on Production. They instruct their agent: 'Check for all scans run against Production in the last 24 hours, get the alerts, and flag anything that looks like an SQL injection.' The agent uses list_scans, then get_scan_alerts to compile a risk report instantly.
Onboarding New Services
A developer has deployed a new microservice. They ask their agent to 'Register this new service and run a baseline scan.' The agent first uses get_application_details to check configuration, then initiates the test via run_scan, ensuring immediate coverage.
Reducing Alert Fatigue
The security team receives hundreds of alerts weekly. They ask their agent: 'Review all high-risk findings from the last scan and classify any known false positives.' The agent uses get_scan_alerts followed by triage_alert, cutting down manual cleanup time.
Pre-Deployment Checklist
Before deploying to Staging, a team lead asks the agent: 'List all active applications and confirm we have an environment configured for testing.' The agent uses list_applications and then list_environments, confirming readiness before code merge.
StackHawk MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Relying on Manual Dashboards
The engineer has to log into the StackHawk web portal, find the correct application ID, manually select 'Production' environment, and then click the 'Run Scan' button. This takes five minutes of clicks just to start the test.
Instead, they tell their agent: 'Using this MCP, run a scan against Production for our main gateway.' The agent handles all authentication (login) and initiation (run_scan), getting them started in seconds.
Forgetting to Contextualize Alerts
The developer runs the scan and gets 50 alerts. They then have to manually download each alert report, one by one, to see if it's a false positive.
They instruct their agent: 'Show me all critical alerts from the last scan.' The agent uses get_scan_alerts and then immediately suggests using triage_alert on questionable findings.
Ignoring Scope Creep
The team thinks they only need to check one application, but later realize three others are running in the same org that weren't included in the initial scan run.
They use the MCP to first call list_applications to get a full inventory of all services monitored by StackHawk before writing any scanning commands. This ensures comprehensive coverage.
When to use StackHawk MCP
Use this if your primary pain point is translating complex, multi-step security operations—like running scans, checking logs, and triaging findings—into conversational actions within your chat window. You need to move from 'I need to run a scan' to 'Run the scan on Production and classify the results.' Don't use this if you just need simple API key management; for that, other dedicated credential tools work better. Furthermore, don't expect it to fix coding bugs itself; it only points out vulnerabilities using get_scan_alerts. If your goal is pure compliance reporting against a specific standard (like PCI-DSS), you might prefer an MCP built specifically around mapping findings to regulatory frameworks, rather than relying solely on the raw output of get_scan_results.
Frequently asked questions about StackHawk MCP
How do I start a new scan using StackHawk MCP? +
You use the agent to call the run_scan tool, specifying which application and environment you want to audit. The system handles the initiation process for you.
Can StackHawk MCP help me check my API token status? +
Yes, you can use list_api_keys to retrieve a list of all configured API keys for your organization, helping you audit which credentials are active and needed.
What if I find an alert that is false positive? How do I handle it? +
You use the triage_alert tool. You simply tell the agent to review a specific vulnerability finding and change its status to 'false positive' or 'risk accepted'.
How many applications can StackHawk MCP list? +
The list_applications tool retrieves all DAST applications registered in your organization, providing you with a complete inventory of monitored services.
Is the data from get_scan_results always up to date? +
Yes. The results come directly from StackHawk’s live scan records, giving you detailed metadata and ensuring you're working with current information regarding a specific DAST run.