Aha! MCP Server for AutoGen 5 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Aha! 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="aha_agent",
tools=tools,
system_message=(
"You help users with Aha!. "
"5 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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Aha! tools. Connect 5 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
- 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 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 Aha! to AutoGen via MCP
Follow these steps to integrate the Aha! 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 5 tools from Aha! automatically
Why Use AutoGen with the Aha! MCP Server
AutoGen provides unique advantages when paired with Aha! through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Aha! tools to solve complex tasks
Role-based architecture lets you assign Aha! 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 Aha! tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Aha! tool responses in an isolated environment
Aha! + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Aha! MCP Server delivers measurable value.
Collaborative analysis: one agent queries Aha! while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Aha!, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Aha! data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Aha! responses in a sandboxed execution environment
Aha! MCP Tools for AutoGen (5)
These 5 tools become available when you connect Aha! to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Aha! to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Aha! + AutoGen FAQ
Common questions about integrating Aha! 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 Aha! 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 Aha! to AutoGen
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
