How to Use the Browserbase MCP in Pydantic AI

Q: How does the agent handle a failed browser session?

If a session fails, getbrowsersession returns an ERROR status. Pydantic AI parses this state safely, allowing your agent logic to catch the error and retry.

Type-safe cloud browser automation for your Pydantic AI agents with runtime validation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Browserbase MCP to Pydantic AI

Create your Vinkius account to connect Browserbase 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.

GDPR Free for Subscribers

Setup Browserbase with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe browser creation using Pydantic AI

The `create_browser_session` tool instantiates a cloud-hosted Chromium browser and returns a validated CDP WebSocket URL. Because Pydantic AI enforces strict schemas, your agent gets guaranteed string formats for the connection. This prevents runtime failures caused by malformed API responses. The MCP Server ensures that your returned connection parameters always match your expected types.

Validate session metadata at runtime

The `get_browser_session` tool fetches detailed status reports for any active browser container. The framework validates this metadata against strict Pydantic models before your agent can act on it. If the status format changes or returns unexpected fields, the system fails immediately. This design protects your downstream data pipelines from silent corruption.

Query and terminate active sessions safely

The `list_browser_sessions` tool returns a structured list of running containers, and `stop_browser_session` tears them down. Every list item is parsed and verified, ensuring your agent never processes invalid session IDs. Managing browser lifecycles this way keeps your automation reliable. This MCP setup lets your agent clean up its active resources without risking exceptions.

Setup guide

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

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

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

Get your connection token →

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

Connect Browserbase now

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 Browserbase MCP in Pydantic AI

Use the MCPToolset class initialized with your Vinkius HTTP URL. Pass this toolset directly to your Agent constructor to enable automatic tool discovery.

The integration supports both Streamable HTTP and SSE transports. Make sure your server runs externally so the client can establish a reliable connection.

Yes, the browser tools work regardless of whether you back your agent with OpenAI, Anthropic, or local models. The validation layer sits entirely on the Python side.

If a session fails, `get_browser_session` returns an ERROR status. Pydantic AI parses this state safely, allowing your agent logic to catch the error and retry.

All WebSocket traffic, cookies, and session data remain isolated within secure V8 sandboxes. Vinkius handles the endpoint authentication, ensuring that your automated interactions leave no persistent footprint in the cloud.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript