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How to Use the Browse AI MCP in Pydantic AI

Get type-safe web extraction with Browse AI and Pydantic AI.

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Pydantic AI

Connect Browse AI MCP to Pydantic AI

Create your Vinkius account to connect Browse AI 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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Extract data safely using Pydantic AI

Trigger your scrapers with `run_robot` and ensure your agent handles the output correctly. Since you use Pydantic models, any malformed API response triggers a validation error immediately. This keeps your application logic clean and predictable. You only process data that matches your defined schema.

Fetch bulk results with Pydantic AI validation

Use `download_bulk_data` to pull arrays of records into your agent's pipeline. The framework validates every element against your models upon retrieval. If the server returns unexpected fields, your agent fails before corruption occurs. This is the safest way to handle web-sourced data.

Monitor web changes inside Pydantic AI

Check your scrape status with `get_task` to ensure the data is ready for validation. It helps your agent avoid processing empty or incomplete records. `list_monitors` lets you see what is currently running on the web. It is a reliable way to keep your agent informed about site changes.

Setup guide

Set up Browse AI MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "browse-ai-1-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Browse AI transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. 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 Browse AI MCP in Pydantic AI

Yes, define your response model in Pydantic. When the tool returns data, the framework automatically validates the JSON against your structure.
Initialize the `MCPToolset` with your server URL. Then, pass the toolset into your agent definition to make the tools available.
You use `run_bulk_task` to start the job. Once it finishes, your agent can call `download_bulk_data` to fetch all validated records.
Yes, `list_robots` returns all your configurations. You can use this to dynamically select which scraper to trigger based on your agent's needs.
Your extracted web data is retrieved over an encrypted channel. We purge all temporary records from our sandbox as soon as your agent confirms receipt, so no sensitive page content is stored beyond your immediate task.

Start using the Browse AI MCP today

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We've already built the connector for Browse AI. Just plug in your AI agents and start using Vinkius.

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