Pagos Data MCP Server

The Pagos Data MCP server gives AI assistants a reliable, on‑demand source of payment card information by querying the Pagos BIN (Bank Identification Number) database. For developers building financial or e‑commerce applications, this means instant access to detailed card issuer data—such as country, brand, and network—directly from within a conversational agent. Instead of hard‑coding static BIN tables or performing costly external API calls, the server exposes a single, lightweight capability that can be invoked through MCP’s resource interface.

At its core, the server accepts a BIN number and returns either basic or enhanced data. The enhanced mode unlocks richer attributes like card type, product line, and issuer risk scores, allowing assistants to provide deeper insights or perform compliance checks. Developers can toggle this feature via an environment variable, giving them fine control over cost and payload size based on their contract with Pagos. The server’s simplicity—just a command line launch with and minimal configuration—makes it trivial to integrate into existing AI workflows, whether on local desktops or cloud‑hosted assistants.

Key capabilities include:

• Single resource endpoint that maps a BIN to structured JSON data.
• Configurable detail level (basic vs. enhanced) without code changes.
• Secure API key handling through environment variables, keeping credentials out of source control.
• Low‑overhead deployment with a single Python script and the lightweight runtime.

Typical use cases span fraud detection, user onboarding, and compliance verification. For example, a banking chatbot can instantly confirm that a card belongs to a supported network and country before proceeding with a transaction, or an e‑commerce platform can enrich order data with issuer details for analytics. In all scenarios, the MCP server removes latency and complexity from card validation logic.

Because Pagos supplies a curated, regularly updated BIN repository, the server offers developers a trusted data source that scales with their application. The combination of easy configuration, optional depth of information, and tight integration into the MCP ecosystem makes Pagos a valuable addition to any AI‑powered financial workflow.