Can I trigger a data extraction for a specific URL?

Yes! Use the `run_robot` tool with the Robot ID and the target URL (`origin_url`). Your agent will create a new task in Browse AI to extract the data instantly.

How do I retrieve the data once a robot finishes its task?

Simply ask the agent to `get_task` and provide the Task ID. If the status is 'successful', it will return the JSON structure containing all the captured data fields.

Can I list all the robots I have trained in my account?

Yes. Use the `list_robots` tool. It will retrieve all the approved robots currently available in your Browse AI dashboard, including their names and unique IDs.

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

Name: Browse AI
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 Browse AI 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({
        "browse-ai": {
            "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 Browse AI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Browse AI MCP Server

Connect your Browse AI account to any AI agent and orchestrate your web scraping, data extraction, and website monitoring workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Browse AI 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

Robot Oversight — List all your approved robots and retrieve detailed metadata for each scraper.
Task Execution — Trigger robot runs (tasks) on specific URLs and monitor their progress in real-time.
Data Retrieval — Retrieve structured data captured by your robots directly into your workspace.
Website Monitoring — List and create monitor schedules to track changes on any website automatically.
Bulk Operations — Manage and inspect bulk runs to extract data from multiple sources at once.
System Status — Check the health and queue status of the Browse AI infrastructure.

The Browse AI 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 Browse AI to LangChain via MCP

Follow these steps to integrate the Browse AI 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 Browse AI via MCP

Why Use LangChain with the Browse AI MCP Server

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

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

Browse AI + LangChain Use Cases

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

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

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

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

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

Browse AI MCP Tools for LangChain (10)

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

create_monitor

Create a new monitor schedule for a robot

get_bulk_run

Get details of a specific bulk run

get_robot

Get details of a specific robot

get_system_status

Check Browse AI system and queue status

get_task

Get status and extracted data for a task

list_bulk_runs

List all bulk runs for a robot

list_monitors

List all monitors for a specific robot

list_robots

List all approved robots

list_tasks

List all tasks for a specific robot

run_robot

Run a robot to extract data (creates a task)

Example Prompts for Browse AI in LangChain

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

"List all my approved web scraping robots."

"Run robot rob_123 on https://example.com/product."

"Retrieve the data from task task_99283."

Troubleshooting Browse AI MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Browse AI + LangChain FAQ

Common questions about integrating Browse AI 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.