BrowserStack MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect BrowserStack through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"browserstack": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using BrowserStack, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with BrowserStack through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the BrowserStack MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from BrowserStack via MCP
Why Use LangChain with the BrowserStack MCP Server
LangChain provides unique advantages when paired with BrowserStack through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine BrowserStack MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across BrowserStack queries for multi-turn workflows
BrowserStack + LangChain Use Cases
Practical scenarios where LangChain combined with the BrowserStack MCP Server delivers measurable value.
RAG with live data: combine BrowserStack tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query BrowserStack, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain BrowserStack tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every BrowserStack tool call, measure latency, and optimize your agent's performance
BrowserStack MCP Tools for LangChain (10)
These 10 tools become available when you connect BrowserStack to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting BrowserStack to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBrowserStack + LangChain FAQ
Common questions about integrating BrowserStack MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.