According to @DeepLearningAI, DeepLearning.AI and Box launched a free short course called Build AI Apps with MCP Servers: Working with Box Files, taught by Box CTO Ben Kus. Source: DeepLearning.AI on X, Sep 17, 2025. According to @DeepLearningAI, the course begins with building an LLM app that processes files manually downloaded from a Box folder and stored locally. Source: DeepLearning.AI on X, Sep 17, 2025. According to @DeepLearningAI, learners then refactor the app to be MCP-compliant and connect it to the Box MCP server so the application can process files directly in Box using server-provided tools. Source: DeepLearning.AI on X, Sep 17, 2025. According to @DeepLearningAI, the program culminates in evolving the solution into a multi-agent system coordinated via the A2A protocol. Source: DeepLearning.AI on X, Sep 17, 2025. According to @DeepLearningAI, the announcement focuses on enterprise file workflows and agent coordination for developers and does not mention any cryptocurrency, blockchain, or token integrations. Source: DeepLearning.AI on X, Sep 17, 2025.

According to @scottshics on X, he, @DavideCrapis, and Chi discussed the A2A protocol at the Ethereum Foundation SF office two weeks prior, underscoring its relevance to Ethereum’s AI-agent stack for builders and traders. According to @scottshics on X, A2A defines robust interfaces including agent card, streaming, and push notifications, and also leaves room for protobuf, leading him to call it a great foundation to integrate with. According to @scottshics on X, this direct developer assessment highlights specific interface and extensibility features that ETH-focused traders tracking AI-agent infrastructure can reference for technical due diligence.

According to Satya Nadella, open protocols such as A2A and MCP are central to building the agentic web, with A2A support being integrated into Copilot Studio and Foundry (Source: Satya Nadella, Twitter, May 7, 2025). This development enables the creation of interoperable agentic systems, which can accelerate automation and cross-platform data flows. For crypto traders, the enhanced interoperability may drive adoption of decentralized AI protocols and increase demand for tokens supporting agent-based ecosystems. Monitoring AI infrastructure projects and tokens likely to benefit from agentic web integration is advised for strategic trading opportunities.