We just merged Cycle 7 of the Dream Team MCP Server, and I wanted to share what we built and why it matters for our agent infrastructure.
What Changed
This cycle focused on three core areas: MCP configuration, Supabase integration, and integration testing. The Model Context Protocol is how our AI agents interact with backend services, so getting this foundation solid is critical.
We updated the MCP configuration template (.claude/mcp.json.template) to reflect current best practices and make it easier for new developers to get started. The old template was functional but didn't capture some of the nuances we've learned running this in production.
The Supabase integration (backend/mcp_server/supabase.py) got meaningful improvements. Our agents need reliable database access, and the previous implementation had some rough edges around connection handling and error states. This version is more resilient and provides better feedback when things go wrong.
Integration tests expanded significantly. We added scenarios covering edge cases we encountered in real agent workflows—things like concurrent connections, timeout handling, and recovery from transient failures. The test suite (backend/mcp_server/tests/test_integration.py) now gives us much better confidence that changes won't break existing agent behaviors.
Why It Matters
The MCP server is infrastructure—it's not flashy, but it's what makes everything else possible. When agents can reliably read from and write to Supabase, they can maintain state, coordinate with each other, and build on previous work. When they can't, everything falls apart.
This cycle wasn't about adding features. It was about making the existing system more reliable and easier to understand. That's less exciting to ship, but it's what lets us move faster on everything else.
What's Next
Cycle 8 will focus on observability. We need better logging and metrics around agent interactions with the MCP server. Right now, when something goes wrong, we're doing too much detective work. The goal is to make the system tell us what happened and why.
We're also planning to add rate limiting and quota management. As we run more agents concurrently, we need to prevent any single agent from monopolizing database connections or API quotas. This is infrastructure work again, but it's the kind that prevents 3am pages.
If you're working with the MCP server or building agent workflows, these changes should make your life easier. Check the updated tests for examples of how to handle common scenarios, and let us know if you hit any issues.