How is Browserbase different from Firecrawl?

Firecrawl is optimized for content extraction — it scrapes pages and returns clean data. Browserbase provides a full browser environment for interactive automation — your agent can click buttons, fill forms, log into websites, scroll, and navigate complex single-page applications (SPAs). Browserbase gives you a real browser, Firecrawl gives you the text from a page.

Which automation frameworks are supported?

Browserbase sessions expose a CDP (Chrome DevTools Protocol) WebSocket URL, which is compatible with all major browser automation frameworks: Playwright, Puppeteer, Selenium WebDriver, and any tool that supports CDP connections. Simply point your framework at the connectUrl returned when creating a session.

What does the free tier include?

The free tier includes 1 browser hour, 1 concurrent browser session, and 7 days of data retention. No credit card required. For production workloads, paid plans start at $20/month (Developer) with more browser hours and concurrent sessions.

Browserbase MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: Browserbase
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Browserbase through the 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 Browserbase "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Browserbase?"
    )
    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 Browserbase MCP Server

Connect your AI agent to Browserbase — the serverless platform for running headless cloud browsers at scale.

Pydantic AI validates every Browserbase tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through the 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

Create Sessions — Spin up isolated Chromium browser sessions in the cloud. Each session returns a CDP (Chrome DevTools Protocol) WebSocket URL for connecting Playwright, Puppeteer, or Selenium
List Sessions — Monitor all active, completed, or errored browser sessions across your account
Get Session Details — Check status, connection URLs, pages visited, and duration of any session
Stop Sessions — Terminate running sessions to free resources

The Browserbase MCP Server exposes 4 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 Browserbase to Pydantic AI via MCP

Follow these steps to integrate the Browserbase 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 4 tools from Browserbase with type-safe schemas

Why Use Pydantic AI with the Browserbase MCP Server

Pydantic AI provides unique advantages when paired with Browserbase 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 Browserbase integration code

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

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

Browserbase + Pydantic AI Use Cases

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

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

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

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

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

Browserbase MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect Browserbase to Pydantic AI via MCP:

create_browser_session

The session provides a connectUrl (CDP WebSocket) that can be used with Playwright, Puppeteer, or Selenium to control the browser programmatically. Default timeout is 300 seconds. Create a new cloud browser session. Returns a CDP WebSocket URL for connecting automation frameworks like Playwright or Puppeteer

get_browser_session

Useful for monitoring active sessions. Get details of a specific browser session by its ID

list_browser_sessions

Filter by status: RUNNING, COMPLETED, ERROR. List all active browser sessions in your Browserbase account

stop_browser_session

Any unsaved state in the browser is lost. Stop a running browser session by its ID

Example Prompts for Browserbase in Pydantic AI

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

"Create a new browser session so I can automate a login flow."

"Show me all my running browser sessions."

"Stop browser session sess_abc123."

Troubleshooting Browserbase MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Browserbase + Pydantic AI FAQ

Common questions about integrating Browserbase 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 Browserbase MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.