About Payneteasy MCP for Payment Platform

Payneteasy MCP provides read-only access for AI agents to operational data within the Payneteasy payment platform. Built on the Model Context Protocol, it enables MCP-capable assistants to discover and query platform data through a unified interface, focusing solely on read operations. This ensures that AI agents can safely access and analyze transaction analytics, order trails, and platform records without any control over payment flows or sensitive financial actions.

• Transaction Analytics and Performance Monitoring: Gain insights into transaction activity, including summaries, breakdowns by various metrics (card type, country, status, reason), time series analysis, and analysis of decline, fraud, and chargeback reasons.

• Order Investigation and Decline Analysis: Investigate individual orders by checking their status, routing path, and processing trail. The AI assistant can explain where a payment failed without exposing raw card data or performing payment actions.

• Platform Reference Data and Configuration Navigation: AI agents can read platform records such as merchants, projects, endpoints, gates, and processors to understand the configuration behind transactions. This access is strictly read-only, preventing any changes to settings.

Security Features:

• Read-Only by Design: All available tools are read-only, preventing AI agents from authorizing, capturing, refunding, moving money, or changing settings.

• No Raw Card Data Exposure: The system does not expose raw card data like PAN or CVV to AI agents. It works with aggregates, metadata, and operational records.

• Token-Governed Access: Access is controlled via a scoped token that defines the AI's read-only permissions and can be revoked at any time.

Payneteasy MCP is ideal for PSPs, fintech platforms, payment operations teams, risk and fraud teams, support and account management teams, and payment analysts who need enhanced access to operational payment data while maintaining strict security controls.