March 27 - Early this morning.OpenAI announced a major update to its Agent SDK to officially support the Model Context Protocol (MCP) Services.
This technology allows developers to harmonize interface standards for theAgentUnlimited access to a variety of third-party tools to dramatically improve the development efficiency of complex automated applications.
So, what is MCP? We can think of MCP as a "USB interface" for AI models, which provides a unified standard that allows AI AgentThe ability to connect to different tools and data sources. Just as you can connect a USB flash drive or removable hard disk with a USB port, MCP allows AI intelligences to realize "plug-and-play" extensions such as web search tools, database query tools, and so on.
According to the official description, the new version of the SDK now supports the rapid integration of diverse tools such as web search, professional analysis, local query and web tracking. For example, to develop an intelligent body that needs to handle file system, database and network information at the same time, developers can use MCP server to access the corresponding tools, which significantly simplifies the process of multitasking collaborative development.
1AI notes that OpenAI co-founder and CEO Sam Altman also made a point of posting a message praising MCP, which shows its importance to AI intelligences.
The core framework of the MCP consists of three key components:
- Model: This is the logical core of the system and is responsible for defining the structure of the data and how the system interprets the information and makes decisions. In AI applications, the model is usually a neural network for understanding language or a deep learning model for processing images.
- Context: This is the context in which the model operates and determines the model's behavior under different conditions. Context can include user input, environmental factors, and the current state of the system. For example, an AI chatbot will generate different responses depending on the context of the conversation.
- Protocol: This is the bridge for communication between different components within the system, defining the rules for their interaction. The protocol ensures effective communication between the model and the context, allowing changes in the environment to correctly affect the model and vice versa.
OpenAI has now made the full development documentation available on GitHub (https://github.com/openai/openai-agents-python) for those who need it.
