The Model Context Protocol (MCP) could reshape how software operates by providing a framework for better context and memory management in AI applications.

We launched the Model Context Protocol (MCP) around Thanksgiving in November 2024, and the initial reception was slow as many people were unsure about what MCP was.

The hope is that MCP effectively addresses the need for providing context to large language models (LLMs) and that the community will help guide its future development. The Model Context Protocol (MCP) is designed to evolve with community input, ensuring it meets the needs of users.

We're committing to making MCP the standard protocol for agentic communication between agents and services, enabling seamless integration of Microsoft's first-party platform components.

MCP (Model Context Protocol) is a promising standard that simplifies data integration for AI applications, but it still needs to evolve.

MCP has become an industry standard for integration protocols, with many companies now adopting it into their products and creating servers to connect with various clients.

The turning point for MCP's adoption came when more clients began to use it, particularly IDEs, which encouraged model providers to create servers that support MCP.

The MCP product emerged from engineers recognizing the need for a standardized protocol to better interact with models, rather than a top-down directive.

The MCP community is expanding, with contributions from both large companies and open-source developers, enhancing the protocol's development and maintenance.