Can I take a full-page screenshot using the agent?

Yes! Use the `take_screenshot` tool and in the `options` field, provide a JSON string like `{"fullPage": true}`. Browserless will capture the entire length of the page.

How do I convert a web page to a PDF?

Simply ask the agent to `generate_pdf` and provide the URL. It will use Browserless to render the page and return the generated PDF file (usually as a binary response or link).

Does the integration allow scraping specific data fields?

Yes. Use the `run_scrape` action and provide the URL along with an `elements` array containing the selectors and names for the data you want to extract.

Browserless MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Browserless
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Browserless through the 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({
        "browserless": {
            "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 Browserless, 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 Browserless MCP Server

Connect your Browserless.io account to any AI agent and orchestrate your headless Chrome operations, web automation, and document generation through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Browserless through native MCP adapters. Connect 8 tools via the 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

Visual Captures — Take high-quality screenshots of any URL with advanced options like full-page capture.
Document Generation — Convert any web page into a polished PDF document directly from your workspace.
Rendered Content — Retrieve the fully rendered HTML content of JavaScript-heavy websites.
Custom Scraping — Run targeted scraping requests by providing element selectors to extract specific data.
Infrastructure Monitoring — Monitor active sessions, retrieve usage statistics, and check the health of the Browserless service.
Configuration Access — Access and verify your account configuration and limits using natural language.

The Browserless MCP Server exposes 8 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 Browserless to LangChain via MCP

Follow these steps to integrate the Browserless 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 8 tools from Browserless via MCP

Why Use LangChain with the Browserless MCP Server

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

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

Browserless + LangChain Use Cases

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

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

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

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

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

Browserless MCP Tools for LangChain (8)

These 8 tools become available when you connect Browserless to LangChain via MCP:

check_system_health

Check the health of the Browserless service

generate_pdf

Generate a PDF of a URL

get_account_config

Retrieve account configuration

get_page_content

Retrieve the rendered HTML content of a URL

get_usage_stats

Retrieve account usage statistics

list_active_sessions

List currently active browser sessions

run_scrape

Run a custom scraping script

take_screenshot

Take a screenshot of a URL using headless Chrome

Example Prompts for Browserless in LangChain

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

"Take a full-page screenshot of https://news.ycombinator.com."

"Generate a PDF of the article at https://example.com/blog/post-1."

"Scrape the titles of all products on https://example.com/shop."

Troubleshooting Browserless MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Browserless + LangChain FAQ

Common questions about integrating Browserless 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.