A certification would fill that vacuum, says Adnan Masood, chief AI architect at UST. “MCP development skills are rapidly becoming ‘must-have’ in the AI field, and the industry is responding with educational programs to cultivate those skills,” he says. “While a standalone, universally recognized MCP certification doesn’t exist yet, it feels almost inevitable if MCP continues its rise.”
Amy Mortlock, vice president of marketing at ShadowDragon, says things are already brewing at Anthropic, the company that launched the MCP standard. “Anthropic is actively hiring roles that focus on MCP documentation, which suggests bigger plans for making the protocol more consistent and adding to it,” she says. “Development platforms like Zed, Replit, and Sourcegraph are also integrating MCP, and that kind of momentum usually leads to formal certification programs.”
Rimington, by contrast, thinks the first move will come neither from Anthropic nor from traditional certification companies, but with the hyperscale cloud vendors that are deeply invested in how MCP evolves. “I bet the first MCP [certs] will come out of the big three cloud vendors — AWS, Google, and Microsoft,” he says. “They are the providers with the greatest stake in standardizing the way AI systems interact with their systems.”
