How to Use the Browserhub MCP in Pydantic AI

Q: How do I check my Browserhub balance in Pydantic AI?

Simply invoke the getaccountbalance tool. The result will be cast into your expected Pydantic type for easy programmatic checks.

Get type-safe web scraping results in Pydantic AI using the Browserhub MCP Server.

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Connect Browserhub MCP to Pydantic AI

Create your Vinkius account to connect Browserhub 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 Browserhub with Pydantic AI

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Validated scraping with Pydantic AI

Every response from `run_scraper` is validated against your Pydantic schemas. If the web data format changes, the agent catches the error immediately instead of passing bad data downstream. This ensures your agent logic remains stable even when websites update their structure. You define the model, and the server provides the data that fits it.

Inspect scrapers inside Pydantic AI

Use `get_blueprint` or `list_scrapers` to understand the data structure of your target sites. It allows you to build robust schemas that match exactly what the server returns. Your agent can check the scraper details before initiating a job. This proactive approach prevents runtime failures caused by mismatched data expectations.

Manage jobs in Pydantic AI

Call `list_scraping_jobs` to keep track of your history and audit previous requests. This gives you a clear view of what your agent has already processed. It helps in debugging complex extraction flows. You can see the status of every job and ensure your agent is not repeating unnecessary work.

Setup guide

Set up Browserhub 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": {
        "browserhub-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Browserhub 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 Browserhub. 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 Browserhub MCP in Pydantic AI

Use the MCPToolset class and point it to your server URL. Pass this toolset to your agent to enable immediate access to all scraping functions.

Yes, it uses your defined Pydantic models to check every field. If the server returns something unexpected, the agent fails cleanly with a validation error.

The server supports both Streamable HTTP and SSE transports. You can choose the one that fits your deployment architecture best.

Simply invoke the `get_account_balance` tool. The result will be cast into your expected Pydantic type for easy programmatic checks.

We secure your session through an ephemeral, token-based authentication system. All extracted data is kept in transient memory and never persists beyond the scope of your agent's current task.

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