Verisk Launches MCP Connectors to Enhance Insurance Analytics Efficiency
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 05 2026
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Source: Newsfilter
- AI-Enabled Insurance Workflows: Verisk's newly launched MCP connectors allow insurance professionals to interact with regulatory-grade data through Claude in natural language, significantly enhancing efficiency and reducing manual tasks, with an estimated savings of hundreds of hours per carrier annually.
- Simplified Data Access: The MCP connectors enable underwriters to quickly access loss cost trends and experience insights from ISO, integrating data from multiple tools to support more confident underwriting decisions while ensuring accountability remains with professionals.
- Support for Restoration Professionals: The XactRestore connector provides restoration professionals with natural language pricing and estimating intelligence, allowing for time savings of 30 minutes to two hours per estimate, thereby improving the efficiency and accuracy of the repair process.
- Responsible AI Implementation: Verisk's collaboration with Anthropic ensures that AI applications in the insurance sector adhere to strict governance and compliance standards, emphasizing the importance of authoritative data and explainable decision-making in a high-stakes industry.
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Analyst Views on VRSK
Wall Street analysts forecast VRSK stock price to rise
12 Analyst Rating
5 Buy
6 Hold
1 Sell
Moderate Buy
Current: 175.350
Low
220.00
Averages
252.89
High
300.00
Current: 175.350
Low
220.00
Averages
252.89
High
300.00
About VRSK
Verisk Analytics, Inc. is a data analytics and technology provider serving clients in the insurance ecosystem. The Company offers predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many other fields. Its Insurance segment serves its property and casualty insurance customers across personal and commercial lines of business, focusing on insurance programs, the prediction of loss, the selection and pricing of risk, and compliance with their reporting requirements in each the United States state in which they operate. It also develops and utilizes machine-learned and artificially intelligent models to forecast scenarios and produce both standard and customized analytics that help its customers better manage their businesses, including detecting fraud before and after a loss event. It provides data aggregation and reporting services for catastrophe and large loss claims across the industry.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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