Aurora Coach MCP Server
Connect Aurora Coach to any MCP client, from AI assistants to coding agents and automated workflows, through the Model Context Protocol. Run check-ins, review improvements, and act on suggestions wherever you work, using your own Aurora Coach account.
Connect
Add Aurora Coach as a remote MCP server in your MCP client, then sign in with your Aurora Coach account.
- Open your client’s MCP server settings and choose “Add custom server”.
- Paste the server URL below.
- Sign in with your Aurora Coach account when prompted (OAuth).
https://app.aurora-coach.com/api/mcpThe server is secured with OAuth 2.0. A connected client only ever acts as you, sees only your teams’ data, and you can disconnect at any time.
What you can do
The server exposes these tools to your MCP client.
aurora_check_in Hold a coaching conversation grounded in your team’s analysis, active improvements, and prior check-ins. Use it to reflect on sprint outcomes, retro themes, or blockers, and to surface what the latest analysis says.
aurora_get_my_recent_check_ins Pull your recent check-in reflections: extracted insights, topics discussed, and action items you raised. Use it to reference what you were thinking about previously without starting a fresh check-in.
aurora_what_changed_for_my_team Get a single-call digest of what is new for a team over the last few weeks: completed and newly committed improvements, blocked items, and new coaching cycles. Built for catching up after time away.
aurora_get_team_improvements Read a team’s improvement items in full: steps, success metrics, context, and why each matters. Use it to plan execution or work through an item the team is stuck on.
aurora_get_team_suggestions Read a team’s open, votable suggestions from its latest coaching cycle, with current vote tallies. Use it to reason about which ideas to back before voting.
aurora_update_improvement_item_status Move a team improvement item between statuses (not started, in progress, blocked, completed, archived) as the team makes progress. Completing an item stamps its completion date automatically.
aurora_vote_on_improvement_suggestion Cast your up- or down-vote on an open suggestion, with the same toggle behavior as the in-app UI.
aurora_list_my_team_cadences List the current sprint or cycle period for each of your teams, with start and end dates. Anchors time-based questions and provides the team IDs other tools need.
Examples
Ask in plain language, or let an agent decide. The client picks the right tool.
“Catch me up on my team.”
The client calls aurora_what_changed_for_my_team and summarizes recently completed improvements, new commitments, and anything blocked.
“Help me run my weekly check-in.”
The client calls aurora_check_in to hold a coaching conversation with full team context, then surfaces suggestions you can vote on.
“Mark the flaky-tests improvement as done.”
The client finds it via aurora_get_team_improvements and calls aurora_update_improvement_item_status to set it to COMPLETED.
