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Browse AI MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create Monitor, Get Robot Details, Get Run Status, and more

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

Ask AI about this MCP Server for Mastra AI

The Browse AI MCP Server for Mastra AI is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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VS CodeVS Code
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+ other MCP clients
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: {
      "browse-ai-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Browse AI Agent",
    instructions:
      "You help users interact with Browse AI " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Browse AI
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 Browse AI MCP Server

Connect your Browse AI account to any AI agent and take full control of your no-code web scraping and automated monitoring workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Browse AI tool infrastructure. Connect 12 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

  • Robot Orchestration — List and manage all web scraping robots in your account programmatically, retrieving detailed configuration and high-fidelity extraction history
  • Automated Task Execution — Programmatically trigger new robot runs with custom parameters (e.g., origin URL) to coordinate high-fidelity data collection in real-time
  • Website Monitoring Intelligence — Create and manage monitoring schedules to track changes on any website and maintain a perfectly coordinated data pipeline
  • Event Architecture — Access and monitor robot webhooks for instant notifications and retrieve detailed log metadata directly through your agent
  • Financial Visibility — Programmatically track your account subscription status and credit usage to coordinate your automated data quotas efficiently

The Browse AI MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Browse AI tools available for Mastra AI

When Mastra AI connects to Browse AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create monitor on Browse AI

Add new schedule

get

Get robot details on Browse AI

Get robot info

get

Get run status on Browse AI

Check task progress

get

Get usage quotas on Browse AI

Check credit balance

get

Get user profile on Browse AI

Get account info

list

List active monitors on Browse AI

List scheduled scrapers

list

List bulk operations on Browse AI

List bulk task runs

list

List robot history on Browse AI

List past runs

list

List robot webhooks on Browse AI

Get event configs

list

List robots on Browse AI

List scraping robots

remove

Remove webhook on Browse AI

Delete robot webhook

trigger

Trigger robot run on Browse AI

Start scraping task

Connect Browse AI to Mastra AI via MCP

Follow these steps to wire Browse AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 12 tools from Browse AI via MCP

Why Use Mastra AI with the Browse AI MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Browse AI 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 Browse AI 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

Browse AI + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Browse AI 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 Browse AI on a cron and store results in your database automatically

04

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

Example Prompts for Browse AI in Mastra AI

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

01

"List all available scraping robots in my account."

02

"Trigger robot 'rob_123' to scrape 'https://vinkius.com/pricing'."

03

"Check the status and results for task 'task_456'."

Troubleshooting Browse AI MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Browse AI + Mastra AI FAQ

Common questions about integrating Browse AI 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.

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