Browse AI MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Browse AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="browse_ai_1_agent",
tools=tools,
system_message=(
"You help users with Browse AI. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Browse AI MCP Server
Connect your Browse AI account to any AI agent and take full control of your no-code web scraping operations through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Browse AI tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Robot Discovery — List all your trained extraction and monitoring robots along with their configuration details
- Execute Scrapes — Trigger specific robots to run tasks on target URLs without lifting a finger
- Data Retrieval — Instantly download the final extracted JSON data from any successfully completed task
- Bulk Operations — Initiate multi-URL concurrent extractions and download the unified bulk datasets
- Monitor Sync — Check the status of your active web change monitors
- Quota Management — Retrieve your current API credits usage and monthly plan limits
The Browse AI MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Browse AI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Browse AI automatically
Why Use AutoGen with the Browse AI MCP Server
AutoGen provides unique advantages when paired with Browse AI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Browse AI tools to solve complex tasks
Role-based architecture lets you assign Browse AI tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Browse AI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Browse AI tool responses in an isolated environment
Browse AI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Browse AI MCP Server delivers measurable value.
Collaborative analysis: one agent queries Browse AI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Browse AI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Browse AI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Browse AI responses in a sandboxed execution environment
Browse AI MCP Tools for AutoGen (10)
These 10 tools become available when you connect Browse AI to AutoGen via MCP:
download_bulk_data
Returns a JSON array where each element contains the capturedData from one task. Download all extracted results from a completed Browse AI bulk run
get_bulk_task
Get bulk task execution status from Browse AI
get_robot
Get detailed configuration of a specific Browse AI robot
get_task
Check the status of a specific Browse AI extraction task
get_task_data
Only meaningful when the task status is "successful". Fields match the column names configured in the Browse AI robot builder hitting internal task references. Retrieve the final extracted JSON data from a successful Browse AI task
list_credits
Check Browse AI quota limits and credit usage
list_monitors
Monitors run on scheduled intervals to detect changes on target web pages and trigger notifications or data captures automatically via `/monitors`. List all active Browse AI web monitoring robots
list_robots
Each robot represents a no-code AI scraping workflow targeting a specific website or data pattern via `GET /robots`. List all Browse AI extraction and monitoring robots
run_bulk_task
Each set typically contains a different "originUrl". All extractions run concurrently on Browse AI infrastructure. Run a Browse AI robot in bulk mode across multiple URLs
run_robot
Pass a JSON string of input parameters (typically including "originUrl" for the target page and any variable fields the robot expects). Returns a taskId. Trigger a Browse AI robot to extract data from a target URL
Example Prompts for Browse AI in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Browse AI immediately.
"List all my robots. Which ones are built for monitoring?"
"Run my HackerNews Scraper robot on the main page."
"Retrieve the JSON data for task t-78ab31."
Troubleshooting Browse AI MCP Server with AutoGen
Common issues when connecting Browse AI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Browse AI + AutoGen FAQ
Common questions about integrating Browse AI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Browse AI 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 Browse AI to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.