Model Context Protocol (MCP) is transforming how development teams integrate AI tools into their workflows. Here’s what we’ve learned from implementing MCP in production environments.

Why MCP Matters

Traditional AI tool integration often creates silos where each tool operates independently. MCP provides a standardized way for AI systems to access and interact with your development context, creating more cohesive and useful AI assistance.

Implementation Approach

Start Small

Begin with a single, well-defined use case. We typically recommend starting with code review automation or documentation generation—both have clear success metrics and minimal risk.