Elle, the Aha! AI assistant, can help you design, create, and refine product work within Aha! products like Aha! Roadmaps, Aha! Teamwork, and Aha! Develop. When you want to search through or summarize Aha! data within another AI tool like ChatGPT, Claude, or Cursor, you may benefit from access to our MCP server.
From your AI tool of choice, you can use the Model Context Protocol (MCP) server to access Aha! data. Your AI tool will then be able to read Aha! data to give you status updates, search for records, and summarize work.
Click any of the following links to skip ahead:
Confirm user permissions
Action |
User permissions |
Connect to and use the MCP server |
Note: The AI tool will access the MCP server with the same level of permissions your user has. |
Connect to the MCP server
For most AI tools, connection is as simple as adding the following server URL in your AI tool's MCP settings:
https://[your-aha-domain].aha.io/api/v1/mcp
For setup instructions specific to your tool, refer to its MCP documentation. Most tools ask for a Name and a Server URL. Use "Aha!" as the Name.
For example, here is how you would connect to Claude.ai. From Claude:
Navigate to Settings, then click Connectors
Click Add custom connector
Enter "Aha!" as the name and paste the server URL above
Click Add
Once connected, query the MCP server using natural language prompts. The AI tool will be able to read, fetch, analyze, and use as context data from your Aha! account.
The MCP server has the same rate limit as the Aha! REST API: 300 requests per minute, or 20 requests per second. The rate are per IP address and per Aha! account. If you work on the same IP address as other members of your Aha! account, you may hit the rate limit sooner than otherwise.
Example queries
Use these as a starting point. Insert your own record names, releases, or topics.
Find what is already tracked
"Do we have anything tracking [topic]?"
"Search for ideas related to [feature area]. How many votes do they have?"
"Are there any open bugs related to [topic]?"
Check status
"What is the status of [record reference number]?"
"What features are assigned to me this sprint?"
"What is in the [release name] release and where does each feature stand?"
Summarize work
"Summarize all features that changed status this week."
"Give me a summary of the [release name] release before my planning meeting."
"What work is in progress across the [workspace name] workspace?"
Connecting to a remote MCP server consumes a small number of AI credits for your Aha! account each time you use it.