MCP

When teams first implement Model Context Protocol, much of the critical knowledge lives in recorded walkthroughs, architecture review meetings, and onboarding sessions. An engineer demos how MCP connects your AI agent to a specific tool, someone records the setup call, and that video gets filed away in a shared drive — technically preserved, but practically inaccessible.

The problem surfaces when a new developer joins or when your team needs to reference a specific integration decision made three months ago. Scrubbing through a 45-minute recording to find the two minutes where someone explained how MCP handles authentication tokens is a real workflow bottleneck. Video captures the moment well, but it doesn't answer questions later.

Converting those recordings into structured documentation changes how your team works with MCP knowledge. Instead of hunting through timestamps, you can search for exactly the context you need — the specific tools connected, the retrieval logic discussed, the edge cases your team already solved. A recorded architecture session becomes a living reference that your AI agents and your human team members can actually query and use.

If your MCP implementation knowledge is currently scattered across recordings and meetings, turning those videos into searchable documentation is a practical next step.