How to Use the Browserless (Playwright Cloud) MCP in AutoGen
Let your AutoGen agents debate and execute complex web scraping tasks using a cloud-managed Playwright browser.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Browserless (Playwright Cloud) MCP to AutoGen
Create your Vinkius account to connect Browserless (Playwright Cloud) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let AutoGen agents debate browser actions
This MCP Server exposes the `run_custom_function` tool so your agents can write and run custom JavaScript on remote pages. One agent drafts the script while a security agent reviews the code before execution. If the script fails, don't sweat it. If the script fails, the debugging agent analyzes the trace and calls `scrape_with_js` to try a different interaction path. This collaborative loop resolves complex page states without human intervention.
Coordinate multi-agent scraping campaigns
The `scrape_with_proxy` tool allows your agents to distribute extraction tasks across multiple IP addresses. Your coordinator agent assigns different targets to specialized scraping agents to avoid rate limits. To bypass strict firewalls, the agents use `scrape_with_stealth` to mimic organic human behavior. AutoGen manages the negotiation between agents to decide which stealth profile fits the target site.
Extract and verify visual page states
The `get_screenshot` tool captures the exact visual layout of a page during an active agent conversation. Your critic agent reviews the image to verify that a button click or form submission succeeded. For formal records, the writer agent calls `get_pdf` to compile the scraped content into a structured document. This output is shared back to the group chat for final validation and storage.
Set up Browserless (Playwright Cloud) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Browserless (Playwright Cloud) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Browserless (Playwright Cloud)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Browserless (Playwright Cloud) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Browserless (Playwright Cloud)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Browserless (Playwright Cloud) data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Playwright Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Browserless (Playwright Cloud) MCP in AutoGen
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