Socotra Unveils MCP Server to Enable Fast & Secure Agentic AI Integrations in Insurance

Socotra Unveils MCP Server to Enable Fast & Secure Agentic AI Integrations in Insurance

Socotra has released its MCP Server, a Model Context Protocol server designed to let insurers rapidly and securely connect agentic AI integrations to their core Socotra Insurance Suite. With step-by-step setup for popular AI platforms like Claude and Cursor, this launch is built to simplify AI deployment across insurance workflows.

What Socotra MCP Server Brings to the Table

The MCP Server is positioned as one of the most mature MCP implementations in the insurance sector. It allows companies to plug AI agents into their existing policy, billing, and claims systems without building from scratch. Socotra provides a 10-minute guide to connect with AI platforms such as Claude and Cursor.

Anthropic’s Model Context Protocol (MCP), introduced in 2024, serves as the underlying standard. It provides a universal, standards-based interface so that AI agents can interact with enterprise systems in structured, auditable ways. Systems like Salesforce, Snowflake, Atlassian and HubSpot have adopted MCP, showing wider momentum toward standardization.

Why This Matters for Insurance Carriers

Insurance is one of the most regulated and data-sensitive sectors. Socotra’s MCP Server helps tackle major operational pain points:

• Secure Data Handling & Governance: Capability-scoped authentication, encrypted agent sessions, and policy issue-aware authorization help protect policyholder data.

• Auditability & Traceability: Every action an AI agent takes is logged. Human-in-the-loop checkpoints ensure oversight.

• Speed & Accuracy: Insurers can automate workflows with speed, reduce manual effort, and decrease error risk.

• Vendor Flexibility: Carriers aren’t locked into a single AI vendor; they can integrate their own large language models (LLMs) or switch between AI platforms as needed.

Strategic & Market Context

According to forecasts by Gartner, investment in AI software in the insurance industry is expected to reach US$15.9 billion by 2027, growing at about 18.2% annually. But many insurance carriers currently struggle with legacy systems that lack built-in AI connectivity. Socotra positioned itself for this moment: the MCP Server aligns with its open API-driven architecture, meaning the platform was designed from its foundation to work with AI.

Sonny Patel, Socotra’s Chief Product and Technology Officer, remarked that this is more than just a technical update, it reflects a strategy to help insurers improve productivity, reduce expenses, improve loss ratios, and deliver better product and support outcomes to customers.

What Insurers Should Do Next

For insurers considering adoption, here are key steps:

• Evaluate internal systems to identify where AI agents could automate or augment workflows (policy issuance, claims, customer support etc.).

• Assess governance and security frameworks to ensure compliance, given sensitive customer data and regulatory constraints.

• Run pilot integrations using Socotra’s 10-minute setup guides with Claude, Cursor or other AI platforms to test use case fit.

• Monitor performance and error rates, audit logs, and governance metrics to ensure the MCP integration is delivering expected value.

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