How to Use the Browserless (Playwright Cloud) MCP in Pydantic AI

Q: How do I register Browserless (Playwright Cloud) in my Pydantic AI agent?

Use the unified MCPToolset class pointing to your Vinkius MCP endpoint. Pass the resulting toolset object into the toolsets list when initializing your Pydantic AI Agent.

Q: Is the old HTTP client setup still supported?

The older MCPServerHTTP class is deprecated. You should use the unified MCPToolset class to connect your agent to the Vinkius-hosted server for better stability and future compatibility.

Connect Pydantic AI to a headless browser with a type-safe MCP Server that validates every scraped DOM element at runtime.

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Connect Browserless (Playwright Cloud) MCP to Pydantic AI

Create your Vinkius account to connect Browserless (Playwright Cloud) to Pydantic 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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Setup Browserless (Playwright Cloud) with Pydantic AI

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Validate scraped web data using Pydantic AI

Scraping is notoriously brittle, but pairing this MCP Server with Pydantic AI changes that. When your agent calls `scrape_elements` or `get_html_content`, the returned data is immediately validated against your strict Pydantic schemas. If a website changes its layout and breaks your parser, the agent fails loudly and instantly. No silent failures, no corrupted database entries—just clean, type-safe data fed directly into your application logic.

Execute complex interactions with this MCP Server

Modern web apps require more than static GET requests. Your agent can use `scrape_with_js` or `run_custom_function` to click buttons, fill out forms, and trigger complex client-side state changes before capturing the page. This allows your Pydantic AI agent to navigate deep into interactive dashboards. Once the target state is reached, it extracts the mutated DOM and validates the output structure before proceeding to the next step.

Bypass bot detection with stealth browser tools

Anti-scraping walls can easily derail automated pipelines. Your agent can call `scrape_with_stealth` or route traffic through custom nodes using `scrape_with_proxy` to blend in with real user traffic. By avoiding detection, your Pydantic AI agents maintain high uptime and reliable data ingestion. If you need low-level access, `send_custom_payload` lets your agent communicate directly with the Browserless API for advanced edge cases.

Setup guide

Set up Browserless (Playwright Cloud) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "browserless-playwright-cloud-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Browserless (Playwright Cloud) tools.",
)

result = await agent.run("List recent Browserless (Playwright Cloud) transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Playwright Cloud. 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.

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Common questions about Browserless (Playwright Cloud) MCP in Pydantic AI

Use the unified `MCPToolset` class pointing to your Vinkius MCP endpoint. Pass the resulting toolset object into the `toolsets` list when initializing your Pydantic AI Agent.

Yes, the integration fully supports asynchronous execution. Your Pydantic AI agent can await calls to tools like `get_screenshot` or `get_pdf` without blocking your main application event loop.

The server uses sensible default timeouts for all browser actions. If a page fails to load within the limit during a `scrape_with_wait` call, the tool returns a clear error that your Pydantic AI agent can catch and handle.

The older `MCPServerHTTP` class is deprecated. You should use the unified `MCPToolset` class to connect your agent to the Vinkius-hosted server for better stability and future compatibility.

All data transit is encrypted using standard TLS. The raw HTML, screenshots, and PDFs processed by the browser tools are handled entirely in memory within ephemeral, single-use V8 sandboxes that are destroyed immediately after execution.

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