StackHawk MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect StackHawk through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using StackHawk, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every StackHawk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the StackHawk MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from StackHawk and passes them to the LLM
Why Use Vercel AI SDK with the StackHawk MCP Server
Vercel AI SDK provides unique advantages when paired with StackHawk through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same StackHawk integration everywhere
Built-in streaming UI primitives let you display StackHawk tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
StackHawk + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the StackHawk MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query StackHawk in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate StackHawk tools and return structured JSON responses to any frontend
Chatbots with tool use: embed StackHawk capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with StackHawk through natural language queries
StackHawk MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect StackHawk to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting StackHawk to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStackHawk + Vercel AI SDK FAQ
Common questions about integrating StackHawk MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.