Apify MCP Server for AutoGenGive AutoGen instant access to 7 tools to Get Dataset Results, Get Run Details, List Actor Runs, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Apify as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Apify app connector for AutoGen is a standout in the Friends Mcp category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="apify_extended_agent",
tools=tools,
system_message=(
"You help users with Apify. "
"7 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 Apify MCP Server
Connect your Apify account to any AI agent and simplify how you manage your web scraping, automation actors, and data storage through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Apify tools. Connect 7 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
- Actor Control — List and trigger serverless actors for web scraping and automation directly from your agent.
- Dataset Retrieval — Fetch the resulting data records (items) from your datasets to analyze or process values via AI.
- Run Monitoring — Track the history and status of recent actor executions to ensure reliability.
- Task Management — List and query configured actor tasks to reuse saved scraper settings.
- Data Insights — Retrieve detailed metadata and logs for specific runs to debug complex automations.
- Storage Visibility — List all datasets in your account to manage your collected web data.
The Apify MCP Server exposes 7 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.
All 7 Apify tools available for AutoGen
When AutoGen connects to Apify through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, serverless-actors, web-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get items from a dataset
Get details for a specific run
List recent actor executions
List configured actor tasks
List Apify actors
List Apify datasets
Trigger an actor run
Connect Apify to AutoGen via MCP
Follow these steps to wire Apify into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Apify MCP Server
AutoGen provides unique advantages when paired with Apify through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Apify tools to solve complex tasks
Role-based architecture lets you assign Apify 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 Apify tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Apify tool responses in an isolated environment
Apify + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Apify MCP Server delivers measurable value.
Collaborative analysis: one agent queries Apify while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Apify, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Apify data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Apify responses in a sandboxed execution environment
Example Prompts for Apify in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Apify immediately.
"List all actors in my Apify account."
"Run the 'Instagram Scraper' with input { "hashtags": ["#AI"] }."
"Show me the results from dataset 'ds_10293'."
Troubleshooting Apify MCP Server with AutoGen
Common issues when connecting Apify to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Apify + AutoGen FAQ
Common questions about integrating Apify MCP Server with AutoGen.