Podcasts

This episode of *AI Alchemy* invites independent developer idoubi to deeply analyze MCP (Model Context Protocol), a key protocol of the AI era. The program likens MCP to HTTP in the AI field, aiming to solve the insufficient capabilities of large language models in networking and context understanding through standardized interfaces, and to streamline the AI application development process. Core concepts include simplifying the M×N complexity of traditionally connecting M applications to N APIs into an M+N model, and realizing a development paradigm shift of "inversion of control," where the connected party actively exposes its capabilities, greatly improving integration efficiency. The podcast also analyzes why MCP stands out among many similar protocols, including its first-mover advantage, the establishment of ecological consensus through prominent applications (such as Manus), and OpenAI's public support. idoubi also detailed the MCP.so application marketplace it developed, which aims to collect and distribute global MCP servers, providing application distribution, testing, scoring, and other services, and discussed the security risks faced by the platform (such as the "poisoning" risk of locally running source code) and the challenge of building a high-quality service barrier. At the same time, the discussion also involved the choices of AI entrepreneurs in the direction of technology and commercialization, and how platforms such as MCPRouter provide underlying capability support for the explosion of AI Agents. Finally, the program looks forward to the future development of MCP, emphasizing that it mainly provides capability supply for developers, and that API calls will dominate browser operations in future AI applications.