airfocus MCP Server for AutoGenGive AutoGen instant access to 6 tools to Create Airfocus Item, Get Airfocus Item, List Airfocus Fields, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add airfocus 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 airfocus app connector for AutoGen is a standout in the Productivity category — giving your AI agent 6 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="airfocus_agent",
tools=tools,
system_message=(
"You help users with airfocus. "
"6 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 airfocus MCP Server
Connect your airfocus account to any AI agent and take full control of your product management and strategic roadmapping workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use airfocus tools. Connect 6 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
- Workspace & Roadmap Orchestration — List all strategic workspaces programmatically, retrieving detailed metadata and custom fields tailored for every product board
- Item Lifecycle Management — Programmatically create and update tasks, features, and initiatives, monitoring status transitions and high-fidelity descriptions in real-time
- Prioritization Intelligence — Retrieve and update prioritization scores and custom field data to coordinate your product strategy and team alignment perfectly
- Cross-functional Sync — Ensure your engineering context matches product roadmaps by querying specific item details directly through your agent
- Infrastructure Monitoring — Access high-fidelity metadata for your workspaces and manage field definitions to maintain a perfectly coordinated project environment
The airfocus MCP Server exposes 6 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 6 airfocus tools available for AutoGen
When AutoGen connects to airfocus through Vinkius, your AI agent gets direct access to every tool listed below — spanning airfocus, product-management-api, roadmaps-orchestration, 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.
Create an item
Get item details
List custom fields
List workspace items
List all workspaces
Update an item
Connect airfocus to AutoGen via MCP
Follow these steps to wire airfocus 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 airfocus MCP Server
AutoGen provides unique advantages when paired with airfocus through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use airfocus tools to solve complex tasks
Role-based architecture lets you assign airfocus 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 airfocus tool calls
Code execution sandbox: AutoGen agents can write and run code that processes airfocus tool responses in an isolated environment
airfocus + AutoGen Use Cases
Practical scenarios where AutoGen combined with the airfocus MCP Server delivers measurable value.
Collaborative analysis: one agent queries airfocus while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from airfocus, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using airfocus data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process airfocus responses in a sandboxed execution environment
Example Prompts for airfocus in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with airfocus immediately.
"List all items in the 'Product Roadmap' workspace (ID: '123')."
"Create a new feature 'User Analytics' in workspace '123'."
"Show the custom fields for workspace '123'."
Troubleshooting airfocus MCP Server with AutoGen
Common issues when connecting airfocus to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"airfocus + AutoGen FAQ
Common questions about integrating airfocus MCP Server with AutoGen.