BrowserStack MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BrowserStack through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 BrowserStack "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in BrowserStack?"
)
print(result.data)
asyncio.run(main())
* 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 BrowserStack MCP Server
Connect your BrowserStack Automate account to any AI agent and take full control of your automated cross-browser testing pipeline through natural conversation.
Pydantic AI validates every BrowserStack tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Project Management — List all test projects and drill down into specific project details
- Build Tracking — Surface your recent automation builds, their statuses (running, failed, passed), and duration
- Session Deep Dive — Retrieve the granular executions of a specific test session, including OS and browser stats
- Log Extraction — Automatically dump and analyze the raw Selenium/Appium logs of a failed session
- Quota & Plan — View your current plan's parallel session usage and testing queue length
- Environment Specs — List all supported OS/browser combinations required to configure your capabilities
The BrowserStack MCP Server exposes 10 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 BrowserStack to Pydantic AI via MCP
Follow these steps to integrate the BrowserStack 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 10 tools from BrowserStack with type-safe schemas
Why Use Pydantic AI with the BrowserStack MCP Server
Pydantic AI provides unique advantages when paired with BrowserStack 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 BrowserStack integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your BrowserStack connection logic from agent behavior for testable, maintainable code
BrowserStack + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the BrowserStack MCP Server delivers measurable value.
Type-safe data pipelines: query BrowserStack with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple BrowserStack tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query BrowserStack and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock BrowserStack responses and write comprehensive agent tests
BrowserStack MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect BrowserStack to Pydantic AI via MCP:
delete_build
json`. Delete a BrowserStack build by ID
delete_session
json`. Delete a BrowserStack session by ID
get_build
json`. Returns session details, OS/browser combos, results, and logs. Get all sessions within a BrowserStack automation build
get_plan
json`, including parallel sessions allowed, team parallel sessions used, queued sessions, and plan name. Essential for managing execution concurrency. Get current BrowserStack plan details and parallel session usage
get_project
json`. This includes name, group ID, and recent builds associated with the project. Get full details of a BrowserStack project including linked builds
get_session
json`. Includes name, OS, browser, status, reason, duration, video URL, and log URLs. Get full details of a specific BrowserStack session
get_session_logs
Useful for debugging failed test steps. Get text execution logs of a BrowserStack session
list_browsers
json`. Returns OS names/versions, browser names/versions required for configuring automation desired capabilities. List all supported OS/browser combinations on BrowserStack
list_builds
json`. Returns build names, IDs, statuses (running/done/timeout/failed), durations, and session counts. Useful for tracking test suite execution. List recent builds on BrowserStack Automate
list_projects
json`. Returns project names, IDs, and build counts. Used to organize automation runs. List all projects on BrowserStack Automate
Example Prompts for BrowserStack in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with BrowserStack immediately.
"List my recent automation builds and summarize their outcomes."
"Fetch the logs for the failed session in build e4da3b."
"Check how many parallel sessions our current plan allows."
Troubleshooting BrowserStack MCP Server with Pydantic AI
Common issues when connecting BrowserStack to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBrowserStack + Pydantic AI FAQ
Common questions about integrating BrowserStack MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect BrowserStack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BrowserStack to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.