AirOps 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 AirOps 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="airops_agent",
tools=tools,
system_message=(
"You help users with AirOps. "
"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 AirOps MCP Server
Connect your AirOps account to your AI agent to unlock professional AI workflow orchestration and agent management. From executing complex multi-step workflows synchronously or asynchronously to interacting with specialized chat agents and managing managed memory stores, your agent handles your AI operations through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use AirOps 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
- Workflow Orchestration — Execute and monitor AirOps apps and workflows, passing custom parameters and retrieving structured results
- Agent Interaction — Chat directly with your specialized AirOps agents to perform niche tasks or leverage unique agent instructions
- Memory Management — Search within managed memory stores (vector databases) and add documents to enrich your AI's domain knowledge
- File Orchestration — Upload and manage files to be used as inputs for your AI workflows and data extraction tasks
- Real-time Status — Monitor execution statuses and cancel long-running AI tasks directly from your chat interface
The AirOps 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 AirOps to AutoGen via MCP
Follow these steps to integrate the AirOps 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 AirOps automatically
Why Use AutoGen with the AirOps MCP Server
AutoGen provides unique advantages when paired with AirOps through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use AirOps tools to solve complex tasks
Role-based architecture lets you assign AirOps 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 AirOps tool calls
Code execution sandbox: AutoGen agents can write and run code that processes AirOps tool responses in an isolated environment
AirOps + AutoGen Use Cases
Practical scenarios where AutoGen combined with the AirOps MCP Server delivers measurable value.
Collaborative analysis: one agent queries AirOps while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from AirOps, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using AirOps data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process AirOps responses in a sandboxed execution environment
AirOps MCP Tools for AutoGen (10)
These 10 tools become available when you connect AirOps to AutoGen via MCP:
add_memory_document
Enrich AI knowledge
cancel_execution
Stop a running task
chat_with_agent
Interact with AI agent
execute_workflow_async
Run workflow asynchronously
execute_workflow_sync
Best for quick tasks. Run workflow synchronously
get_app_details
Get app metadata
get_execution_status
Check execution progress
list_apps
List AI applications
search_memory_store
Search vector database
upload_file
Upload file for AI
Example Prompts for AirOps in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with AirOps immediately.
"List all AI apps in my AirOps workspace."
"Execute the 'Data Extractor' app (UUID: abc-123) with input 'Extract names from this text: John Doe visited London'."
"Search my 'Knowledge Base' memory store for 'API integration guides'."
Troubleshooting AirOps MCP Server with AutoGen
Common issues when connecting AirOps to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"AirOps + AutoGen FAQ
Common questions about integrating AirOps 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 AirOps 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 AirOps to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
