Can I take a full-page screenshot using the agent?

Yes! Use the `take_screenshot` tool and in the `options` field, provide a JSON string like `{"fullPage": true}`. Browserless will capture the entire length of the page.

How do I convert a web page to a PDF?

Simply ask the agent to `generate_pdf` and provide the URL. It will use Browserless to render the page and return the generated PDF file (usually as a binary response or link).

Does the integration allow scraping specific data fields?

Yes. Use the `run_scrape` action and provide the URL along with an `elements` array containing the selectors and names for the data you want to extract.

Browserless MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Browserless
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Browserless 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 Browserless "
            "(8 tools)."
        ),
    )

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

Connect your Browserless.io account to any AI agent and orchestrate your headless Chrome operations, web automation, and document generation through natural conversation.

Pydantic AI validates every Browserless tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Visual Captures — Take high-quality screenshots of any URL with advanced options like full-page capture.
Document Generation — Convert any web page into a polished PDF document directly from your workspace.
Rendered Content — Retrieve the fully rendered HTML content of JavaScript-heavy websites.
Custom Scraping — Run targeted scraping requests by providing element selectors to extract specific data.
Infrastructure Monitoring — Monitor active sessions, retrieve usage statistics, and check the health of the Browserless service.
Configuration Access — Access and verify your account configuration and limits using natural language.

The Browserless MCP Server exposes 8 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 Browserless to Pydantic AI via MCP

Follow these steps to integrate the Browserless 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 8 tools from Browserless with type-safe schemas

Why Use Pydantic AI with the Browserless MCP Server

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

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

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

Browserless + Pydantic AI Use Cases

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

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

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

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

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

Browserless MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Browserless to Pydantic AI via MCP:

check_system_health

Check the health of the Browserless service

generate_pdf

Generate a PDF of a URL

get_account_config

Retrieve account configuration

get_page_content

Retrieve the rendered HTML content of a URL

get_usage_stats

Retrieve account usage statistics

list_active_sessions

List currently active browser sessions

run_scrape

Run a custom scraping script

take_screenshot

Take a screenshot of a URL using headless Chrome

Example Prompts for Browserless in Pydantic AI

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

"Take a full-page screenshot of https://news.ycombinator.com."

"Generate a PDF of the article at https://example.com/blog/post-1."

"Scrape the titles of all products on https://example.com/shop."

Troubleshooting Browserless MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Browserless + Pydantic AI FAQ

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