We're collaborating with partners like Anthropic to address complex enterprise challenges on top of the MCP protocol, such as agent identification and building a robust entitlements infrastructure.

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

The current state of MCP includes major players adopting it across their products, with over 10,000 MCP server builders contributing to a growing ecosystem.

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.

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

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.

Future developments for MCP include facilitating long-running tasks and improving how servers can request more information from users.

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.