Can I trigger a browser task with a different starting URL?

Yes! Use the `run_task` tool and provide the Task ID. In the `overrides` field, you can pass a JSON object like `{"url": "https://newsite.com"}` to change the starting point dynamically.

How do I see the screenshot captured by a task?

Simply ask the agent to `get_run` and provide the Run ID. Once the status is 'finished', the response will include a `screenshot_url` that you can click to view the image.

Does the integration allow taking a quick screenshot without a saved task?

Yes. Use the `take_screenshot` action and provide the URL. It will create a simplified run that captures the page and returns the result URL once processed.

Browserbear MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Browserbear
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Browserbear through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Browserbear "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Browserbear?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Browserbear MCP Server

Connect your Browserbear (Roborabbit) account to any AI agent and orchestrate your browser automation, web scraping, and visual monitoring workflows through natural conversation.

Pydantic AI validates every Browserbear tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Task Oversight — List and retrieve detailed metadata for all your saved browser automation tasks.
Automation Execution — Trigger task runs with dynamic overrides (like URL or form data) and monitor their progress.
Visual Captures — Take high-quality screenshots of any URL with customizable dimensions and wait times.
Data Extraction — Retrieve scraped structured data and screenshot URLs directly into your workspace.
Run Management — List, inspect, and delete history of your automation runs.
Project Coordination — Access and organize your tasks across multiple projects and track account usage.

The Browserbear MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic 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 Browserbear to Pydantic AI via MCP

Follow these steps to integrate the Browserbear MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Browserbear with type-safe schemas

Why Use Pydantic AI with the Browserbear MCP Server

Pydantic AI provides unique advantages when paired with Browserbear through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Browserbear integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Browserbear connection logic from agent behavior for testable, maintainable code

Browserbear + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Browserbear MCP Server delivers measurable value.

Type-safe data pipelines: query Browserbear with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Browserbear tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Browserbear and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Browserbear responses and write comprehensive agent tests

Browserbear MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Browserbear to Pydantic AI via MCP:

create_task

Create a new browser automation task

delete_run

Delete a task run record

get_account_usage

Retrieve account usage statistics

get_run

Get status and results of a task run

get_task

Get details of a specific task

list_projects

List all projects in the account

list_runs

List all task runs

list_tasks

List all browser automation tasks

run_task

Trigger a run for a specific task

take_screenshot

Take a quick screenshot of a URL

Example Prompts for Browserbear in Pydantic AI

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

"List all my browser automation tasks."

"Take a screenshot of https://vinkius.com at 1280x800 resolution."

"Run task task_123 and override the starting URL to https://google.com."

Troubleshooting Browserbear MCP Server with Pydantic AI

Common issues when connecting Browserbear to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Browserbear + Pydantic AI FAQ

Common questions about integrating Browserbear MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Browserbear MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.