Roo Code users swap MCP, prompt tips

Roo Code’s real edge is that it behaves more like a configurable agent runtime than a fixed assistant. If you want it to feel like Claude or Copilot, the winning move is usually tighter rules and a smaller tool surface, not more AI plumbing.

• –Roo’s docs center customizable modes, MCP servers, Auto-Approve, and model agnosticism, so the product is explicitly built to be shaped around the task and the model.
• –The strongest community advice is to start with a lean MCP set: filesystem, sequential-thinking, and fetch/search before adding anything that bloats the prompt or tool list.
• –Custom instructions and mode-specific agent files matter, but they can get brittle fast; keep them short, verify they actually land in the prompt, and avoid overlapping rule sources.
• –For Python and HTML/CSS work, the best ROI is usually a concise project rules file that captures test commands, code style, and build steps.
• –Roo is most useful as the control plane for model swapping, not as a vendor lock-in layer, which makes it a good bridge for people who want to hop between local models, Claude, and Copilot-like workflows.