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Pagos Launches Its First MCP Server for AI Payment Intelligence

Pagos, a comprehensive provider of payment optimization solutions, has recently introduced its inaugural Model Context Protocol (MCP) Server. This innovative solution aims to make it simpler for artificial intelligence (AI) agents and applications to access critical payment intelligence that only Pagos can offer.

What is the MCP Server?

The MCP Server is tailored to facilitate Pagos’ direct-to-network BIN data solutions, allowing AI-powered tools and large language models (LLMs) to securely access real-time Bank Identification Number (BIN) data from card networks. This launch represents a significant step towards creating a future where payment data is more open and accessible than ever before.

Merchants can benefit tremendously from this advancement. With the MCP Server, businesses can seamlessly integrate BIN data into their operational workflows, enabling them to handle card-based payments more effectively across the globe. Some of the capabilities offered by this new server include:

• - Understanding Customer Base: Access to vital card details such as issuer, card brand, and country data which help merchants tailor their offerings.
• - Routing Strategies: Designing approval and processing cost strategies based on real-time data.
• - Retry Strategy Optimization: Fine-tuning the retry processes to increase successful transaction approvals.
• - Fraud Prevention: Establishing BIN-based fraud detection rules to combat common fraudulent practices associated with specific issuing banks.
• - Cost Reduction: Identifying opportunities where a customer’s card qualifies for Level II or Level III transaction data, thus minimizing interchange fees.
• - AI Tool Prototyping: Developing AI applications without the hassle of building custom connectors to Pagos.

Insights from Pagos Leadership

According to Klas Bäck, CEO and Co-founder of Pagos, there is a growing trend of merchants utilizing AI as a valuable ally in enhancing payment optimizations. He emphasizes that the effectiveness of such AI tools correlates directly with the quality of context and data they can access. The launch of the MCP Server thus aims to empower AI agents with timely and accurate data directly from card networks, fostering smarter automation and operational efficiency for merchants.

Getting Started with the MCP Server

Businesses eager to leverage this innovative MCP Server can do so in just a few steps:
1. Explore the MCP Server on GitHub for detailed documentation and resources.
2. Sign up for Pagos to gain API access and start utilizing the functionalities of the MCP Server.
3. Deploy the Server locally or in a preferred environment to begin integrating BIN data into their systems.

Pagos has plans to broaden the capabilities of its MCP offerings in the coming months, with intentions to support additional core products and workflows. As part of its commitment to innovation, the company is actively soliciting feedback from developers, merchants, and AI creators to continually refine and enhance the functionality of the MCP Server.

About Pagos

Recognized as a 2024 Fintech Innovation 50 honoree, Pagos delivers data-driven solutions for payment intelligence, aiding businesses in maximizing revenue while minimizing operational costs. A range of top-tier global brands, including Adobe, Eventbrite, GoFundMe, StubHub, Ultra Mobile, and Warner Bros. Discovery, rely on Pagos for their payment optimization needs. The company is well-supported by notable investors such as Arbor Ventures, Infinity Ventures, Point72 Ventures, Tarsadia, and Underscore VC, boasting a diverse team spread across ten countries.

For more information on Pagos and its innovative solutions, visit www.pagos.ai.