Omise, a leading Asia-Pacific online payment solutions provider, has launched Omise MCP, a new product designed to connect AI agents directly to its full suite of payment capabilities.
Omise provides payment solutions across Thailand, Singapore, Malaysia, Japan, and the US, focusing on security, performance and digital accessibility. The firm ranks among the top 25 payment processors in the US and supports businesses transitioning towards the digital economy.
The newly launched Omise MCP enables AI agents to access more than 60 Omise payment tools—including acceptance, transaction management, subscriptions, transfers, and monitoring—without the need for custom API builds.
Through the Model Context Protocol (MCP), an open standard for linking AI agents and large language models to external tools, the platform facilitates secure, structured two-way interactions with payment systems.
With Omise MCP, AI systems can execute real-world financial tasks such as accepting payments across cards, banks, e-wallets and QR, issuing refunds via a single command, and automating reconciliation, supplier payouts and operational reporting.
Jun Hasegawa, founder and CEO of Omise said, “The future of commerce will be defined not only by human potential, but also by how intelligently systems can support our work.
“With Omise MCP, we’re not just enabling AI to observe payments, we’re enabling it to operate them. This marks the shift from passive fintech to intelligent financial orchestration, where businesses can scale without adding complexity, and consumers experience payments that truly work for them.”
Amborish Acharya, group chief technology officer of Omise said, “When we built Omise MCP, we started with one non-negotiable principle: it had to be engineered for financial-grade reliability.
“AI can only transform payments if the foundation is secure, predictable, and fault-tolerant at scale. Omise MCP delivers that foundation, one where AI agents can interact with money with the same trust we expect from traditional financial systems, while unlocking entirely new possibilities for automation and autonomy.”
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