Trae (trae.ai) is an adaptive AI IDE that supports the Model Context Protocol (MCP). This makes it uniquely powerful for integrating with Cencori's data layer.

MCP Integration (Coming Soon)

We are building a native Cencori MCP Server. This will allow Trae to:

Read Memories: Trae will be able to search your Cencori Vector Store directly to find relevant context for your code.
Log Events: Trae can push build errors and "thinking" steps to Cencori Observability.

Standard Setup

Until the MCP server is public, you can use Trae's "Builder Mode".

Context: Trae is excellent at ingesting URLs.
Chat: "I want to use the Cencori SDK. Please read https://cencori.com/llm.txt"
Trae will index the file and be able to scaffold Cencori backends instantly.

Why Trae?

Trae's "SOLO Mode" is designed to build entire apps from scratch. By giving it Cencori as the "Backend Infrastructure", you prevent Trae from writing fragile, unmaintainable backend code.