Aspire Launches AI-Native Banking With MCP Integration for Finance Workflows

Singapore-based fintech Aspire has launched a new integration using the Model Context Protocol (MCP) that connects business finance workflows directly into AI platforms like Claude and ChatGPT. The integration allows users to review card spending, check invoice and approval statuses, monitor balances across entities, and track budgets using natural language — all governed by each user's existing Aspire permissions and approval settings.

The move addresses a growing friction point for AI-native companies: while tools for coding, research, and workflow management have embraced AI, financial systems have largely remained siloed from these platforms. Aspire's integration brings banking into the AI-native workflow, enabling finance teams to access real-time data without switching between applications. Andrea Baronchelli, co-founder and CEO of Aspire, described it as "building the banking layer for this new generation of AI-native companies."

Security is a core design consideration. The integration operates within the same roles and controls already configured in the Aspire platform, ensuring businesses maintain oversight and compliance while using AI for financial operations. The feature is available immediately to all Aspire customers across its regulated financial infrastructure, which includes treasury, payments, cards, and ERP tools.

Why it matters for Singapore: Aspire's MCP integration is a signal of how Singapore's fintech ecosystem is positioning itself at the intersection of AI and financial services. As businesses increasingly run through networks of AI agents, the demand for financial infrastructure that AI can securely access will grow. Aspire, which processes billions in transaction volume annually from its Singapore base, is betting that the next competitive advantage in fintech is not just faster payments but AI-ready financial infrastructure that puts finance teams on autopilot.