How do I find my airfocus API Key?

Log in to airfocus, go to **Member settings** > **API keys**, and generate a new key for your integration.

Can I update custom fields via AI?

Yes! The `update_airfocus_item` tool allows your agent to modify any field by providing a JSON object with the field IDs and new values.

How do I find my Workspace ID?

Use the `list_airfocus_workspaces` tool to retrieve your complete directory of workspaces along with their unique high-fidelity IDs.

INSTANT PLUG AND PLAY

airfocus MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Airfocus Item, Get Airfocus Item, List Airfocus Fields, and more

Name: airfocus
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect airfocus through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The airfocus app connector for OpenAI Agents SDK 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="airfocus Assistant",
            instructions=(
                "You help users interact with airfocus. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from airfocus"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 6 tools from airfocus through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries airfocus, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_airfocus_item

Create an item

get_airfocus_item

Get item details

list_airfocus_fields

List custom fields

list_airfocus_items

List workspace items

list_airfocus_workspaces

List all workspaces

update_airfocus_item

Update an item

Connect airfocus to OpenAI Agents SDK via MCP

Follow these steps to wire airfocus into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from airfocus

Why Use OpenAI Agents SDK with the airfocus MCP Server

OpenAI Agents SDK provides unique advantages when paired with airfocus through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

airfocus + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the airfocus MCP Server delivers measurable value.

Automated workflows: build agents that query airfocus, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries airfocus, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through airfocus tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query airfocus to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for airfocus in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting airfocus to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

airfocus + OpenAI Agents SDK FAQ

Common questions about integrating airfocus MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.