Core Insights - The traditional business inquiry platforms face significant challenges, including information silos, operational inefficiencies, high understanding thresholds, and a lack of deep insights, which hinder effective decision-making [1][2][6] Group 1: Traditional Business Inquiry Platform Challenges - Information fragmentation leads to users needing to navigate multiple platforms for data retrieval, resulting in time-consuming processes and potential oversight of critical information [1] - Operational inefficiencies arise from the cumbersome keyword search and filtering processes, which do not meet the demands for rapid responses [1] - High understanding thresholds exist due to the presentation of raw data without sufficient analysis, placing a heavy cognitive burden on users [1] - The lack of insightful analysis limits the ability to derive deeper insights, predict trends, or provide decision-making support, resulting in underutilization of data value [1] Group 2: Waterdrop Credit's MCP Solution - Waterdrop Credit introduces a multi-type enterprise information query MCP that leverages large model technology to transform the business inquiry experience [2][6] - The MCP allows for natural language interaction, enabling users to express queries in everyday language, which the system can accurately interpret and analyze [10] - The platform features a panoramic data architecture that integrates diverse data sources, breaking down information silos and enabling comprehensive enterprise profiling [12] - Dynamic intelligent reports can be generated based on user queries, enhancing efficiency from data retrieval to decision support [14] - The MCP represents a shift from traditional information repositories to intelligent hubs, facilitating proactive insights and decision-making support [16]