1. What is MCP
MCP stands for Model Context Protocol, which is an open communication protocol used to connect large language models with external tools, data sources, and services. It was initiated by Anthropic with the goal of providing a unified and standardized way for AI systems to connect plugins.
2. What can MCP do
- to give AI access to external data sources AI
- can call databases, APIs, local files, cloud services, etc. through MCP to obtain contextual information in real-time during conversations.
- Let AI call external tools
- With MCP, AI can execute code, generate documentation, initiate requests, control systems or applications, and implement an agent capable of execution just like a developer.
- Realize cross-tool and cross-model collaboration
- MCP supports multi-agent collaboration, enabling multiple AI agents to complete task division and jointly execute complex processes under standard protocols.
- Reduce the cost of plug-in access and tool integration
- Different model manufacturers and platforms can share the MCP protocol, and developers can be compatible with multiple AI systems at the same time by accessing it at once, similar to the "USB-C" of the AI world.
3. The industry significance of MCP
MCP is being promoted as a universal standard by OpenAI, Anthropic, Google, Microsoft, and other companies, and it is expected to unify the AI tool ecosystem and promote AI towards stronger connectivity and practicality.
