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 CrewAI 8 tools — connect in under 2 minutes

Name: Browserless
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Browserless through the Vinkius — pass the Edge URL in the `mcps` parameter and every Browserless tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Browserless Specialist",
    goal="Help users interact with Browserless effectively",
    backstory=(
        "You are an expert at leveraging Browserless tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Browserless "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 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.

When paired with CrewAI, Browserless becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Browserless tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Browserless MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from Browserless

Why Use CrewAI with the Browserless MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Browserless through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Browserless + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Browserless for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Browserless, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Browserless tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Browserless against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Browserless MCP Tools for CrewAI (8)

These 8 tools become available when you connect Browserless to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Browserless + CrewAI FAQ

Common questions about integrating Browserless MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.