How do I find my Aha! API Key?

Log in to your Aha! account, click on your profile avatar, and select **Personal settings**. Go to the **Developer** tab and click **API keys** to generate or retrieve your key.

Can I update a feature status via the agent?

Yes! Use the `update_feature` tool and provide the Feature ID along with the new status (e.g., 'Shipped', 'In development'). Your agent will synchronize the change with your roadmap.

Does this support creating new ideas?

Yes, you can use the `create_idea` tool to capture feedback or suggestions. Provide a title and description, and it will be added to your ideation portal.

Aha! MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: Aha!
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 5 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Aha! Assistant",
            instructions=(
                "You help users interact with Aha!. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Aha!"
        )
        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 Aha! MCP Server

Connect your Aha! account to your AI agent to unlock professional product management and roadmap orchestration. From capturing new product ideas to auditing technical metadata for features and tracking strategic initiatives, your agent handles your product lifecycle through natural conversation.

The OpenAI Agents SDK auto-discovers all 5 tools from Aha! through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Aha!, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Feature Orchestration — List and retrieve details for features, update statuses, and audit requirement hierarchies
Idea Management — List and create product ideas to ensure customer feedback is always captured and categorized
Strategic Oversight — Monitor high-level goals and initiatives to ensure your team is aligned with the product vision
Release Tracking — Retrieve details on upcoming product releases and associated work items across your portfolios
Product Insights — Quickly identify feature bottlenecks or unvoted ideas directly from your chat interface

The Aha! MCP Server exposes 5 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.

How to Connect Aha! to OpenAI Agents SDK via MCP

Follow these steps to integrate the Aha! MCP Server with OpenAI Agents SDK.

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 5 tools from Aha!

Why Use OpenAI Agents SDK with the Aha! MCP Server

OpenAI Agents SDK provides unique advantages when paired with Aha! 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

Aha! + OpenAI Agents SDK Use Cases

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

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

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

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

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

Aha! MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Aha! to OpenAI Agents SDK via MCP:

create_idea

Capture a new product idea

get_feature

Get feature details

list_features

List product features

list_ideas

List product ideas

list_releases

List product releases

Example Prompts for Aha! in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Aha! immediately.

"List all active features in my 'Web App' product."

"Create a new idea named 'Dark Mode Support' with description 'User requested dark theme for better accessibility'."

"Show me the details for feature ID 'APP-F-101'."

Troubleshooting Aha! MCP Server with OpenAI Agents SDK

Common issues when connecting Aha! 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.

Aha! + OpenAI Agents SDK FAQ

Common questions about integrating Aha! 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.