Browserless (Playwright Cloud) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Browserless (Playwright Cloud) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Browserless (Playwright Cloud). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Browserless (Playwright Cloud)?"
)
print(response)
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 Browserless (Playwright Cloud) MCP Server
Grant your AI agent the absolute power of an untethered, scalable Browserless / Playwright Cloud cluster. Unlike basic REST fetchers, this MCP connector spins up a legitimate remote Chromium/Webkit instance. Your agent can now execute full JavaScript lifecycles natively, scrape heavy SPAs (Single Page Applications), wait for CSS selectors, or simply ask for a high-fidelity PDF render of any site.
LlamaIndex agents combine Browserless (Playwright Cloud) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Remote Scraping — Pull down the fully rendered HTML DOM of any complex site (
get_html_content) bypassing typical bot-blocks. Intercept specific payload slices selectively using explicitly mapped CSS queries (scrape_elements). - Visual Operations — Command the agent to spawn an ephemeral browser and snap an immediate
get_screenshotof a live staging site or construct a print-perfectget_pdfdocument autonomously. - Evasion & Stealth — Avoid standard Cloudflare/Data Dome constraints by wrapping requests in
scrape_with_stealthto emulate human environments, or bounce TCP endpoints completely out utilizing a residentialscrape_with_proxy. - Live Execution — Embed dynamic lifecycle alterations into the target memory structure. Run
scrape_with_jsto click modals inside the remote page prior to extraction, orrun_custom_functionexposing the raw Chrome DevTools Protocol to your LLM.
The Browserless (Playwright Cloud) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 (Playwright Cloud) to LlamaIndex via MCP
Follow these steps to integrate the Browserless (Playwright Cloud) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Browserless (Playwright Cloud)
Why Use LlamaIndex with the Browserless (Playwright Cloud) MCP Server
LlamaIndex provides unique advantages when paired with Browserless (Playwright Cloud) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Browserless (Playwright Cloud) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Browserless (Playwright Cloud) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Browserless (Playwright Cloud), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Browserless (Playwright Cloud) tools were called, what data was returned, and how it influenced the final answer
Browserless (Playwright Cloud) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Browserless (Playwright Cloud) MCP Server delivers measurable value.
Hybrid search: combine Browserless (Playwright Cloud) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Browserless (Playwright Cloud) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Browserless (Playwright Cloud) for fresh data
Analytical workflows: chain Browserless (Playwright Cloud) queries with LlamaIndex's data connectors to build multi-source analytical reports
Browserless (Playwright Cloud) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Browserless (Playwright Cloud) to LlamaIndex via MCP:
get_html_content
Get raw HTML content using Playwright Cloud (Browserless)
get_pdf
Print page to PDF using Playwright Cloud
get_screenshot
Take a full-page screenshot using Playwright Cloud
run_custom_function
Execute custom JS function inside remote Playwright browser
scrape_elements
Extract specific elements from page using CSS selectors
scrape_with_js
evaluate` lifecycle executing imperative DOM manipulations like button clicks prior to scraping the final mutated HTML state. Inject and run a custom JS script before extracting content
scrape_with_proxy
Scrape URL using a specified proxy server
scrape_with_stealth
Scrape using stealth mode plugins to avoid bot detection
scrape_with_wait
Scrape content and wait for a CSS selector
send_custom_payload
Send custom JSON payload to any Browserless REST endpoint
Example Prompts for Browserless (Playwright Cloud) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Browserless (Playwright Cloud) immediately.
"Take a full page screenshot of the landing page on 'https://vinkius.com'."
"Scrape the price of the first item from Amazon using a stealth bypass on `url_here`."
"Retrieve the rendered HTML content of this site: 'https://vinkius.com/blog'."
Troubleshooting Browserless (Playwright Cloud) MCP Server with LlamaIndex
Common issues when connecting Browserless (Playwright Cloud) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrowserless (Playwright Cloud) + LlamaIndex FAQ
Common questions about integrating Browserless (Playwright Cloud) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.