BrowserStack MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BrowserStack through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="BrowserStack Assistant",
instructions=(
"You help users interact with BrowserStack. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from BrowserStack"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from BrowserStack through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BrowserStack, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the BrowserStack MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from BrowserStack
Why Use OpenAI Agents SDK with the BrowserStack MCP Server
OpenAI Agents SDK provides unique advantages when paired with BrowserStack through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
BrowserStack + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the BrowserStack MCP Server delivers measurable value.
Automated workflows: build agents that query BrowserStack, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries BrowserStack, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through BrowserStack tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query BrowserStack to resolve tickets, look up records, and update statuses without human intervention
BrowserStack MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect BrowserStack to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting BrowserStack to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
BrowserStack + OpenAI Agents SDK FAQ
Common questions about integrating BrowserStack MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.