According to @workspaceupdates, Workspace admins can now build custom deep research connectors using the Model Context Protocol (MCP) in beta, allowing users to integrate proprietary systems and third-party apps for advanced research workflows. This enhanced interoperability is available to Team, Enterprise, and Edu admins, as well as Pro users. The MCP integration is expected to accelerate AI-driven research and knowledge management, directly benefiting AI infrastructure tokens and blockchain projects focusing on enterprise data solutions (source: @workspaceupdates). Crypto traders should monitor projects positioned in enterprise data and AI interoperability, as this update may drive increased demand and innovation in decentralized knowledge management.

According to DeepLearning.AI, the launch of a new course on the Model Context Protocol (MCP) with AnthropicAI aims to standardize integrations between large language models (LLMs) and external tools or data sources, replacing fragmented custom logic (source: DeepLearning.AI Twitter, May 14, 2025). This development streamlines AI workflows, potentially accelerating enterprise adoption and boosting demand for blockchain-based AI solutions. The news is trading-relevant as it may drive renewed interest in crypto AI tokens such as FET, AGIX, and OCEAN, which are positioned to benefit from increased interoperability and enterprise integration in the AI and crypto sectors.

According to Andrew Ng (@AndrewYNg), a new course titled 'MCP: Build Rich-Context AI Apps with Anthropic' has been launched in partnership with Anthropic (@AnthropicAI) and taught by Elie Schoppik (@eschoppik). The course introduces the Model Context Protocol (MCP), enabling developers to build AI applications that efficiently access tools, data, and prompts. This advancement is expected to drive increased adoption of AI-driven blockchain and decentralized app development, potentially influencing related crypto markets as demand for AI-integrated solutions grows (Source: Andrew Ng on Twitter, May 14, 2025).

According to DeepLearning.AI, OpenAI has announced support for the Model Context Protocol (MCP), a standard developed by Anthropic, which facilitates the connection of language models to external tools and proprietary data sources. This integration into OpenAI's Agents SDK is expected to enhance trading algorithms by providing more robust data connectivity and tool compatibility. [Source: DeepLearning.AI](https://twitter.com/DeepLearningAI/status/1913336732948250941)

According to DeepLearning.AI, Andrew Ng emphasizes the importance of starting AI evaluations early and refining them continuously as AI systems evolve. This approach can significantly enhance the performance and reliability of AI models. In the same update, Gemini 2.5 Pro has been noted for leading AI benchmarks, showcasing its superior capabilities. Furthermore, OpenAI's adoption of the Model Context Protocol is set to streamline AI integration processes, while the Byte Latent Transformer emerges as a new innovation in AI architecture. These advancements are crucial for traders looking to leverage AI in algorithmic trading and decision-making processes.