Nymbus Unlocks Core Banking AI with Secure, Standardized MCP Server

JACKSONVILLE, Fla. – April 09, 2026 – Nymbus, a platform for U.S. banks and credit unions, today announced a significant step toward integrating artificial intelligence into the heart of banking operations with the launch of its Nymbus MCP Server. The new offering is one of the first secure Model Context Protocol (MCP) servers built specifically for core banking, designed to give financial institutions a standardized and secure bridge between modern AI assistants and their critical back-end systems.

For years, the financial industry has faced a significant hurdle in its digital transformation journey: the difficulty of connecting cutting-edge AI technologies with decades-old legacy core systems. The launch of the Nymbus MCP Server aims to dismantle this barrier, providing a single, controlled interface for AI tools to perform essential banking functions, promising a new era of efficiency and operational intelligence.

Bridging the AI Gap in Legacy Banking

The promise of AI in banking—from hyper-personalized customer service to real-time fraud detection—has often been stalled by the industry's reliance on legacy infrastructure. Many institutions still run on core systems developed in the 1970s and 1980s, which are robust but were never designed for the real-time data exchange required by modern AI. Integrating new AI tools into these systems typically involves costly, time-consuming, and bespoke custom projects for each new use case, creating a fragmented and difficult-to-manage technological ecosystem.

Nymbus's new server tackles this problem head-on by acting as a universal translator. It provides a standardized connection layer that allows AI agents to securely call approved core functions without requiring a complete overhaul of the underlying infrastructure. This approach allows institutions to move faster and scale their AI-assisted workflows more consistently.

"AI creates real value in banking when it helps institutions get work done, not just generate answers," said Jeffery Kendall, Chairman and CEO of Nymbus, in the company's announcement. "With the Nymbus MCP Server, we are giving banks and credit unions a practical way to put AI into everyday workflows while maintaining the control, consistency, and accountability they need to operate with confidence."

A New Standard for Practical AI Workflows

At the core of the new product is the Model Context Protocol (MCP), an emerging open standard sometimes described as the "USB port for AI." It provides a universal framework for AI models to securely connect with external data and tools. By building its server on this open standard, Nymbus is offering a solution that simplifies integration and fosters a more cohesive technology stack.

The server currently comes equipped with 19 pre-built tools designed for front-office operations. These tools enable AI assistants to support common banking actions such as customer lookups, account management, initiating money movement, and managing debit card controls. For example, a customer service agent could use a single conversational AI assistant to verify a member's identity, review their recent transactions, and execute a request to freeze a debit card—all without needing to toggle between multiple applications. This streamlined process not only boosts employee efficiency but also accelerates research-heavy processes like fraud investigation and case handling.

Navigating the Regulatory Maze with Controlled AI

While the potential of AI is vast, its adoption in a highly regulated sector like finance is fraught with challenges related to security, compliance, and governance. Regulators and industry experts consistently emphasize the need for transparency, explainability, and robust audit trails for any AI system handling sensitive financial data. The "black box" nature of some AI models creates significant compliance risks if decisions cannot be justified or traced.

The Nymbus MCP Server was designed with these regulatory realities in mind. The platform includes token-based authentication, role-based access controls, masking of personally identifiable information (PII) in logs, encrypted connections, and full audit logging of all AI-assisted actions. These features are not just technical safeguards; they are essential components for meeting the stringent security, access, and recordkeeping requirements of banking compliance programs.

"Financial institutions are looking at AI as a way to improve service, strengthen operations, and create competitive advantage, but they need a practical path to do that responsibly," noted Matthew Terry, Chief Technology Officer at Nymbus. The server gives each institution granular control over which tools are enabled, how they are used, and where human review is required, allowing them to start small with specific use cases and expand over time within a secure and auditable framework.

Laying the Foundation for Agentic Banking

Beyond immediate efficiency gains, the Nymbus MCP Server is positioned as a foundational element for the future of banking. The company's vision extends to what it calls "agentic banking," where more advanced AI can move beyond simply answering questions to proactively assisting employees and coordinating complex tasks across multiple systems—all within controls defined by the institution.

This long-term vision addresses the evolution from simple chatbots to sophisticated digital assistants that can manage workflows, anticipate customer needs, and execute multi-step processes with minimal human intervention. By establishing a secure and standardized protocol for AI-to-core communication today, Nymbus is providing the essential groundwork needed to support these more autonomous systems tomorrow. This strategic approach ensures that as AI capabilities evolve, financial institutions will have a controlled, scalable, and compliant path to adoption, balancing innovation with the non-negotiable demands of security and governance.

The server's architecture, built on an open standard, creates a flexible foundation for this next generation of interactions, ensuring that banks and credit unions are not locked into a proprietary ecosystem but can instead build a future-proof strategy for intelligent banking.