Pagos, an AI-powered payments intelligence company, has significantly expanded its open-source Model Context Protocol (MCP) Server. The enhancement allows merchants to securely access their own aggregated and enriched transaction data directly through natural language queries in their preferred AI chat agents, transforming how payments teams interact with and derive value from their data.
Payments operations face mounting pressure: leaner teams, higher expectations, and the need for real-time answers rather than dashboard diving. Pagos addresses this by making harmonized, enriched payments data accessible where teams already work—inside their AI chat agents.
“Payments teams are done spending hours digging through raw payments data. They need instant & actionable insights based on verified and reliable data,” said Albert Drouart, CPO and Co-Founder of Pagos. “Our competitive advantage has always been payments data aggregation and harmonization—the Pagos MCP Server gives teams conversational access to that verified, consolidated, and enriched data in whatever AI workflow they're already using.”
Pagos normalizes inconsistent fields (issuer names, decline codes) across processors and card brands, then layers in rich context from its BIN Database. This enables precise, business-relevant answers while protecting proprietary algorithms and user privacy.
“We're a Payments Intelligence company,” added Klas Bäck, CEO and Co-founder of Pagos. “The days of flying blind without payments data visibility are done. Payment operators want answers now, and they want them in their existing AI workflows.”
Customers with existing Pagos accounts can enable the MCP Server through their AI client’s connector settings and begin querying immediately. Setup instructions are available in the Pagos Product Documentation.
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