BugBug MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Ips, Get Suite, Get Suite Run, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BugBug through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The BugBug app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 BugBug, 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 BugBug MCP Server
Connect your BugBug account to any AI agent and take full control of your automated browser testing and application quality monitoring through natural conversation.
The Vercel AI SDK gives every BugBug tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Test Orchestration — List and run high-fidelity automated browser tests in the cloud programmatically, including support for custom environment IDs
- Suite Execution Architecture — Trigger entire test suites to run simultaneously and monitor their aggregate results to oversee platform-wide quality in real-time
- Run Intelligence — Retrieve detailed high-fidelity reports and execution status for every test run to identify regressions and friction points instantly
- History & Performance Monitoring — Access complete historical records of past test and suite runs to coordinate your QA trends programmatically
- Infrastructure Visibility — Access high-fidelity metadata for your projects and retrieve BugBug IP addresses for secure firewall allowlisting directly through your agent
The BugBug MCP Server exposes 12 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.
All 12 BugBug tools available for Vercel AI SDK
When Vercel AI SDK connects to BugBug through Vinkius, your AI agent gets direct access to every tool listed below — spanning browser-automation, end-to-end-testing, no-code-testing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get BugBug IP addresses
Get details for a specific suite
Get status of a suite run
Get details for a specific test
Get status of a test run
List all projects
List recent suite runs
List all test suites
List recent test runs
List all tests
Run a specific test suite
Run a specific test
Connect BugBug to Vercel AI SDK via MCP
Follow these steps to wire BugBug into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the BugBug MCP Server
Vercel AI SDK provides unique advantages when paired with BugBug 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 BugBug integration everywhere
Built-in streaming UI primitives let you display BugBug 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
BugBug + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BugBug MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BugBug in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BugBug tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BugBug capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BugBug through natural language queries
Example Prompts for BugBug in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BugBug immediately.
"List all my automated tests in BugBug."
"Run the 'Smoke Test' suite (ID: 'suite_456') in the 'Staging' environment."
"Show the status and results for the latest test run ID 'run_789'."
Troubleshooting BugBug MCP Server with Vercel AI SDK
Common issues when connecting BugBug to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBugBug + Vercel AI SDK FAQ
Common questions about integrating BugBug 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.