Cloud BOT MCP Server for AutoGenGive AutoGen instant access to 7 tools to Cancel Job, Execute Bot, Get Bot Details, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cloud BOT 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 Cloud BOT app connector for AutoGen is a standout in the Productivity 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="cloud_bot_agent",
tools=tools,
system_message=(
"You help users with Cloud BOT. "
"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 Cloud BOT MCP Server
Connect your Cloud BOT account to any AI agent and take full control of your cloud-based Robotic Process Automation (RPA) and browser-based workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cloud BOT 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
- Robot Orchestration — List and manage all browser automation robots in your account programmatically, retrieving detailed configuration and input parameter metadata
- Automated Job Execution — Programmatically trigger bot executions with custom JSON parameters to coordinate high-fidelity web scraping and data entry tasks
- Workflow Monitoring — Track the real-time status of your automation jobs and retrieve detailed logs and results to maintain perfectly coordinated RPA operations
- File Architecture — Access and manage files within the Cloud BOT storage used or generated by your robots to maintain high-fidelity data cycles
- Lifecycle Management — Programmatically cancel or suspend running jobs and verify API connectivity directly through your agent for instant operational reporting
The Cloud BOT 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 Cloud BOT tools available for AutoGen
When AutoGen connects to Cloud BOT through Vinkius, your AI agent gets direct access to every tool listed below — spanning rpa, web-scraping, no-code, 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.
Cancel a running job
You can pass optional input parameters as a JSON string. Trigger a bot execution
Get details for a specific bot
Check the status of a job
List all available RPA bots
List files in Cloud BOT storage
List recent execution jobs
Connect Cloud BOT to AutoGen via MCP
Follow these steps to wire Cloud BOT 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 Cloud BOT MCP Server
AutoGen provides unique advantages when paired with Cloud BOT through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cloud BOT tools to solve complex tasks
Role-based architecture lets you assign Cloud BOT 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 Cloud BOT tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Cloud BOT tool responses in an isolated environment
Cloud BOT + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Cloud BOT MCP Server delivers measurable value.
Collaborative analysis: one agent queries Cloud BOT while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Cloud BOT, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Cloud BOT data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Cloud BOT responses in a sandboxed execution environment
Example Prompts for Cloud BOT in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Cloud BOT immediately.
"List all available browser robots in my Cloud BOT account."
"Execute the 'Price Scraper' bot (ID: 'bot_123') with URL 'vinkius.com'."
"Show the status and logs for automation job 'job_456'."
Troubleshooting Cloud BOT MCP Server with AutoGen
Common issues when connecting Cloud BOT to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Cloud BOT + AutoGen FAQ
Common questions about integrating Cloud BOT MCP Server with AutoGen.