Integrate with Gemini

Access product data in your AI tool

Bring your product data directly into Gemini

Use the Aha! MCP server to connect Gemini to your Aha! account. This enables you to access your product planning information, giving Gemini valuable context when drafting text or conducting basic research. For deeper product work, use Elle, the Aha! AI assistant, to summarize, analyze, and act on product data directly in Aha! software.

Description

How to integrate

About Gemini

Aha! software provides a remote MCP server built on the Model Context Protocol (MCP) open standard. This enables you to connect any AI assistant that supports MCP, such as Gemini, directly to your Aha! data so you can:

Work from your source of truth

Gemini can retrieve records from Aha! software — including goals, initiatives, features, requirements, and releases — and use them as context for any prompt. You can also create and update records from Gemini by enabling edit access in your account's AI controls settings.

Understand plans, priorities, and progress

Bring strategic plans from Aha! Roadmaps into Gemini. Check the status of a feature, summarize progress across initiatives, or prepare updates for stakeholders. The Aha! MCP server queries live data, so you are always working from the current state of your plans.

Put customer insights to work

Reference interview transcripts, studies, and reports from Aha! Discovery directly in Gemini. Summarize findings and identify recurring themes. Then, use customer insights to inform your decision-making.

Analyze feedback trends

Access customer feedback from Aha! Ideas in Gemini to identify trends, review requests by customer segments, and summarize common themes. Quickly understand what customers are asking for and bring those insights into prioritization discussions.

Move work forward faster

Give Gemini delivery context from Aha! Develop or Aha! Teamwork. Review requirements for completeness, draft technical documentation from feature descriptions, or break down work into smaller items. The result is faster, more accurate output because it is based on your actual backlog.

The Aha! MCP server is enabled by default with view access in all Aha! software accounts. Account administrators can enable or disable view and edit access in your AI controls settings.

Individual owners and contributors in Aha! software can connect with the Aha! MCP server by creating a custom MCP server data store in the Google Cloud console:

Go to Gemini Enterprise Data stores and click + Create data store.
In Search sources enter "Custom MCP server", then click Add MCP server.
Paste your Aha! MCP server URL: https://[your-aha-domain].aha.io/api/v1/mcp
Paste your Aha! MCP server authorization URL: https://[your-aha-domain].aha.io/oauth/authorize
Paste your Aha! MCP server token URL: https://[your-aha-domain].aha.io/oauth/token
In Scopes, type "full."
Authenticate with your Aha! account when prompted.
Enable actions for your users in the Actions section of your custom MCP server data store.
Start querying in natural language. You can access any record you have permission for in Aha! software.

For step-by-step instructions, see our remote MCP server setup guide in the Aha! knowledge base. If you need help getting set up, contact our Customer Success team at support@aha.io.

Gemini is Google's AI assistant. It is available as a web and mobile app and is also integrated into Google Workspace apps like Gmail, Docs, Sheets, and Slides. Gemini can help you write, plan, brainstorm, conduct research, and analyze information.

If you need assistance with your Gemini account or subscription, visit Google's help center.