Can I scrape a URL directly without creating a scraper first?

Yes! Use the `direct_scrape` tool and provide the URL. It will use Browserhub's real browsers to render the page and extract data based on your parameters instantly.

How do I monitor the progress of a scraping job?

Simply ask the agent to `get_scraping_job` and provide the Job ID. It will return the current status (e.g., pending, running, finished) and the result data once ready.

Can I specify a proxy location for my scraping request?

Yes. When using `direct_scrape`, you can provide a `proxy_country` code. Use the `list_proxy_locations` tool to see the full list of supported countries in your account.

Browserhub MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Browserhub
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Browserhub through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "browserhub": {
            "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 Browserhub, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Browserhub MCP Server

Connect your Browserhub.io account to any AI agent and orchestrate your web scraping, data extraction, and proxy management workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Browserhub 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

Scraper Oversight — List all your configured scrapers and blueprints, and retrieve detailed metadata for each.
Job Execution — Trigger scraping jobs with dynamic URL overrides and monitor their progress in real-time.
Direct Scraping — Perform one-off URL extractions using real browsers without pre-defined scrapers.
Data Retrieval — Retrieve structured data captured by your jobs directly into your workspace.
Infrastructure Management — List available proxy locations and check your account credit balance.
Task History — List and inspect all your previous scraping jobs.

The Browserhub 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 Browserhub to LangChain via MCP

Follow these steps to integrate the Browserhub 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 Browserhub via MCP

Why Use LangChain with the Browserhub MCP Server

LangChain provides unique advantages when paired with Browserhub through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Browserhub 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 Browserhub queries for multi-turn workflows

Browserhub + LangChain Use Cases

Practical scenarios where LangChain combined with the Browserhub MCP Server delivers measurable value.

RAG with live data: combine Browserhub tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Browserhub, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Browserhub tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Browserhub tool call, measure latency, and optimize your agent's performance

Browserhub MCP Tools for LangChain (10)

These 10 tools become available when you connect Browserhub to LangChain via MCP:

direct_scrape

Perform a one-off URL scrape without a pre-defined scraper

get_account_balance

Check account credit balance

get_blueprint

Get details of a specific blueprint

get_scraper

Get details of a specific scraper

get_scraping_job

Get status and results of a scraping job

list_blueprints

List all scraper blueprints

list_proxy_locations

List all available proxy locations

list_scrapers

List all configured scrapers

list_scraping_jobs

List all scraping jobs

run_scraper

Start a scraping job using a specific scraper

Example Prompts for Browserhub in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Browserhub immediately.

"List all my configured scrapers in Browserhub."

"Scrape the URL https://example.com using the 'E-commerce' scraper."

"Check my Browserhub account credit balance."

Troubleshooting Browserhub MCP Server with LangChain

Common issues when connecting Browserhub to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Browserhub + LangChain FAQ

Common questions about integrating Browserhub MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.