Agents as the New Interface: Beyond Prompts! The most transformative aspect of MCP is that it enables AI agents like ChatGPT and Claude to go beyond passive conversations to execute real actions in digital systems. With MCP, these agents can: - Manage email: Draft, send, and https://t.co/XoHoQAL0i7
🧠 Is MCP the new API? In a world of agents, prompts, and automation, MCP is quickly emerging as the AI-native standard for connecting tools and data to LLMs. In @thenewstack, @edanuff breaks down how MCP works, why it matters, and what it means for developers building smart,
Agentic AI Protocols #MCP #A2A https://t.co/xHDfDhAbNL
China has released an open-source Deep Research multi-agent framework that supports the Model-Centric Protocol (MCP), enabling AI agents to connect with specialized tools for tasks such as web search, crawling, and Python code execution. MCP is rapidly emerging as a new AI-native standard for linking tools and data to large language models (LLMs), facilitating more advanced automation and agentic AI protocols. This protocol allows AI agents, including ChatGPT and Claude, to move beyond passive interactions and perform real actions within digital systems, such as managing emails by drafting and sending messages. The integration of MCP with the MyShell ecosystem, which had been previously aligned with Web2, positions it advantageously within the evolving Web3 AI landscape. Industry experts highlight MCP's potential to become the new API standard for developers building intelligent, autonomous AI systems.