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How to Use the Browserbear MCP in Mastra AI

Build reliable browser automation workflows in Mastra AI with conditional logic and automatic retries.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Browserbear MCP to Mastra AI

Create your Vinkius account to connect Browserbear to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate complex browser flows in Mastra AI

Chain `create_task` and `run_task` together to build sequences that handle multi-step web interactions. You define the logic that triggers these actions. This setup allows for branching paths based on task outcomes. Your agents decide the next step based on the data returned.

Monitor Browserbear runs with Mastra AI

Use `list_runs` and `get_run` to check the status of every automation in your pipeline. You can build internal monitoring tools that track performance. If a run stalls, your workflow engine handles the logic to restart or flag it. It keeps your operations moving without manual oversight.

Clean up Browserbear records

Call `delete_run` once you process the results to keep your account tidy. It prevents clutter from building up in your history. Automating this cleanup ensures you only keep relevant data. Your logs stay clean and easy to audit.

Setup guide

Set up Browserbear MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Browserbear tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "browserbear-mcp-client",
  servers: {
    "browserbear-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Browserbear Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Browserbear tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Browserbear transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserbear. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Browserbear MCP in Mastra AI

Add the server URL to your agent configuration. Mastra AI then treats these tools as native functions within your workflow.
You can implement custom retry logic using the framework's workflow engine. If a Browserbear task returns an error, your agent handles the next step.
Your task logs and screenshots stay within your account. Mastra AI only accesses the metadata required to execute the tools you authorize.
Yes, you can require approval for any tool call. This forces your agent to pause until you verify the Browserbear action.
Check your current status using `get_account_usage`. You can build a monitor that alerts you before you hit your plan limits.

Start using the Browserbear MCP today

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