How to Use the Browse AI MCP in Pydantic AI
Get type-safe web extraction with Browse AI and Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
Use it with your favorite AI tools
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Start using the Browse AI MCP today
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