2,500+ MCP servers ready to use
Vinkius

Equixly MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Equixly through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Equixly, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Equixly
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 Equixly MCP Server

Connect your Equixly account to any AI agent and take full control of your autonomous API security testing and vulnerability management through natural conversation.

The Vercel AI SDK gives every Equixly 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

  • Autonomous Pentest Orchestration — Launch new attack sessions where the Equixly AI Hacker autonomously explores and attacks your API for BOLA, IDOR, and injection flaws
  • Service Management — Register and manage target API services by defining base URLs and granular path-scoping rules for continuous monitoring
  • API Surface Discovery — Upload and manage API specifications (OpenAPI, GraphQL, Postman) to broaden the attack surface known to the AI Hacker
  • Vulnerability Auditing — Retrieve detailed lists of confirmed exploitable security flaws with severity ratings, OWASP mapping, and remediation guidance
  • Scan Status Monitoring — Track execution progress and overall outcomes of active penetration tests, including total requests and endpoints explored
  • Remediation Oversight — Access evidence of exploitation for specific findings to validate security fixes and maintain production safety
  • Target Configuration — Fetch granular metadata for API targets, including authentication hooks and production safety toggles natively

The Equixly 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 Equixly to Vercel AI SDK via MCP

Follow these steps to integrate the Equixly MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Equixly and passes them to the LLM

Why Use Vercel AI SDK with the Equixly MCP Server

Vercel AI SDK provides unique advantages when paired with Equixly through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Equixly integration everywhere

03

Built-in streaming UI primitives let you display Equixly tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Equixly + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Equixly MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Equixly in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Equixly tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Equixly capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Equixly through natural language queries

Equixly MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Equixly to Vercel AI SDK via MCP:

01

create_service

Provide the human-readable name and the live base URL. After creation, upload an API spec to maximize attack surface coverage. Register a new API target service for autonomous pentesting

02

delete_service

Use when decommissioning an API or cleaning up test environments. This action is irreversible. Remove an API service and all its scan history from Equixly

03

get_scan

Includes total requests made, endpoints explored, attack vectors attempted, severity breakdown of findings (critical/high/medium/low), and OWASP Top 10 mapping. Get detailed status and summary of a specific pentest scan

04

get_scan_findings

Each finding includes a severity rating, OWASP category, affected endpoint path, HTTP method, request/response evidence of exploitation, and actionable remediation guidance. Download all exploitable vulnerabilities found in a pentest scan

05

get_service

Required before modifying scan behavior. Get detailed configuration of a specific API service

06

list_api_specs

The AI Hacker uses these specs to understand the full attack surface, so keeping them updated maximizes vulnerability discovery coverage. List uploaded API specifications for a service

07

list_scans

Each scan entry includes its status (running, completed, failed), timestamps, and the total count of vulnerabilities detected in that session. List all pentest scan sessions for an API service

08

list_services

A Service represents a single API base URL that the autonomous AI pentester continuously attacks. Each service contains its unique ID, name, base URL, and the number of discovered endpoints. List all registered API services in Equixly

09

trigger_scan

It tests for BOLA, broken authentication, mass assignment, IDOR, injection, and business logic flaws. Ideal for CI/CD pipeline integration upon each deployment. Launch a new autonomous AI penetration test against a service

10

upload_api_spec

Supported formats: openapi (JSON/YAML), postman, graphql, wsdl, har. Pass the raw spec content as a string along with the format identifier. Upload an API specification (OpenAPI, Postman, etc.) to a service

Example Prompts for Equixly in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Equixly immediately.

01

"Trigger a security scan for API service 'Billing-v1'"

02

"Show me the critical findings from the latest scan of service 'Payments'"

03

"List all registered API target services"

Troubleshooting Equixly MCP Server with Vercel AI SDK

Common issues when connecting Equixly to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Equixly + Vercel AI SDK FAQ

Common questions about integrating Equixly MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Equixly to Vercel AI SDK

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