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

main();
Bugcrowd
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 Bugcrowd MCP Server

Connect your Bugcrowd account to any AI agent and orchestrate your vulnerability management, bug bounty programs, and security engagements through natural conversation.

The Vercel AI SDK gives every Bugcrowd 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

  • Submission Oversight — List and retrieve detailed metadata for all vulnerability reports (submissions) across your programs.
  • Program Management — List all active security programs and retrieve detailed metadata, including scopes and rewards.
  • Engagement Tracking — Monitor crowd executions like specific Bug Bounties or Pen Tests directly from your workspace.
  • Target Coordination — List and inspect assets in scope (targets) for your organization or specific programs.
  • Submission Creation — Create new vulnerability submissions from external sources using natural language.
  • Organizational Insights — Retrieve core organization information and settings straight from your workspace.

The Bugcrowd 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 Bugcrowd to Vercel AI SDK via MCP

Follow these steps to integrate the Bugcrowd 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 Bugcrowd and passes them to the LLM

Why Use Vercel AI SDK with the Bugcrowd MCP Server

Vercel AI SDK provides unique advantages when paired with Bugcrowd 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 Bugcrowd integration everywhere

03

Built-in streaming UI primitives let you display Bugcrowd 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

Bugcrowd + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Bugcrowd MCP Tools for Vercel AI SDK (10)

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

01

create_submission

Create a new vulnerability submission

02

get_engagement

Get details of a specific engagement

03

get_organization_info

Retrieve core organization information

04

get_program

Get details of a specific security program

05

get_submission

Get details of a specific submission

06

get_target

Get details of a specific target

07

list_engagements

List all crowd engagements (bounties, pen tests)

08

list_programs

List all security programs

09

list_submissions

List all vulnerability submissions

10

list_targets

List all assets in scope (targets)

Example Prompts for Bugcrowd in Vercel AI SDK

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

01

"List all active security programs in Bugcrowd."

02

"Show the last 5 vulnerability submissions."

03

"Create a new submission titled 'Insecure Direct Object Reference' for program prog_123."

Troubleshooting Bugcrowd MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Bugcrowd + Vercel AI SDK FAQ

Common questions about integrating Bugcrowd 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 Bugcrowd to Vercel AI SDK

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