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Vinkius

BrowserStack MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BrowserStack through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "browserstack": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "BrowserStack Agent",
    instructions:
      "You help users interact with BrowserStack " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with BrowserStack?"
  );
  console.log(result.text);
}

main();
BrowserStack
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 BrowserStack MCP Server

Connect your BrowserStack Automate account to any AI agent and take full control of your automated cross-browser testing pipeline through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and BrowserStack tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Project Management — List all test projects and drill down into specific project details
  • Build Tracking — Surface your recent automation builds, their statuses (running, failed, passed), and duration
  • Session Deep Dive — Retrieve the granular executions of a specific test session, including OS and browser stats
  • Log Extraction — Automatically dump and analyze the raw Selenium/Appium logs of a failed session
  • Quota & Plan — View your current plan's parallel session usage and testing queue length
  • Environment Specs — List all supported OS/browser combinations required to configure your capabilities

The BrowserStack MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 BrowserStack to Mastra AI via MCP

Follow these steps to integrate the BrowserStack MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from BrowserStack via MCP

Why Use Mastra AI with the BrowserStack MCP Server

Mastra AI provides unique advantages when paired with BrowserStack through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BrowserStack without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every BrowserStack tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

BrowserStack + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the BrowserStack MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query BrowserStack, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed BrowserStack as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query BrowserStack on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using BrowserStack tools alongside other MCP servers

BrowserStack MCP Tools for Mastra AI (10)

These 10 tools become available when you connect BrowserStack to Mastra AI via MCP:

01

delete_build

json`. Delete a BrowserStack build by ID

02

delete_session

json`. Delete a BrowserStack session by ID

03

get_build

json`. Returns session details, OS/browser combos, results, and logs. Get all sessions within a BrowserStack automation build

04

get_plan

json`, including parallel sessions allowed, team parallel sessions used, queued sessions, and plan name. Essential for managing execution concurrency. Get current BrowserStack plan details and parallel session usage

05

get_project

json`. This includes name, group ID, and recent builds associated with the project. Get full details of a BrowserStack project including linked builds

06

get_session

json`. Includes name, OS, browser, status, reason, duration, video URL, and log URLs. Get full details of a specific BrowserStack session

07

get_session_logs

Useful for debugging failed test steps. Get text execution logs of a BrowserStack session

08

list_browsers

json`. Returns OS names/versions, browser names/versions required for configuring automation desired capabilities. List all supported OS/browser combinations on BrowserStack

09

list_builds

json`. Returns build names, IDs, statuses (running/done/timeout/failed), durations, and session counts. Useful for tracking test suite execution. List recent builds on BrowserStack Automate

10

list_projects

json`. Returns project names, IDs, and build counts. Used to organize automation runs. List all projects on BrowserStack Automate

Example Prompts for BrowserStack in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with BrowserStack immediately.

01

"List my recent automation builds and summarize their outcomes."

02

"Fetch the logs for the failed session in build e4da3b."

03

"Check how many parallel sessions our current plan allows."

Troubleshooting BrowserStack MCP Server with Mastra AI

Common issues when connecting BrowserStack to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

BrowserStack + Mastra AI FAQ

Common questions about integrating BrowserStack MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect BrowserStack to Mastra AI

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