Core Insights - The introduction of the Model Context Protocol (MCP) by Anthropic is revolutionizing data-driven innovation in the financial sector, allowing institutions to extract deeper value from existing data and seamlessly integrate it into daily workflows [1][2]. Group 1: Importance of MCP - MCP is an open standard developed by Anthropic that facilitates AI models' access to external data and systems, ensuring compliance with enterprise security standards while enabling necessary data access and execution capabilities [1][2]. - LSEG is leveraging MCP to structure financial data for AI model access, enhancing the models' ability to understand and utilize data for task execution, thereby expanding the coverage and value of authorized data [2]. Group 2: Practical Applications of MCP - MCP has already made a significant impact in various areas of financial services, particularly in research, where it allows analysts to connect multiple data sources, improving efficiency and research quality [2]. Group 3: Recommendations for Institutions - Institutions considering adopting MCP should focus on data structuring, context information, and permission management to maximize its effectiveness. LSEG's AI Ready Content serves as a prime example of data designed specifically for AI [3].