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Onepay MCP Server

MCP Server

Seamlessly integrate OnePay.la API services via MCP

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Updated Apr 4, 2025

About

The Onepay MCP Server enables developers to consume OnePay.la payment APIs through the Model Context Protocol, simplifying integration and ensuring secure communication between services.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Onepay MCP Server Demo

Onepay MCP Server Overview

The Onepay MCP Server is a specialized Model Context Protocol (MCP) endpoint that bridges AI assistants with the Onepay.la payment platform. By exposing a curated set of resources, tools, and prompts, it lets developers harness Onepay’s payment‑processing capabilities directly from conversational AI workflows. This eliminates the need to build custom integrations, allowing assistants to initiate transactions, query balances, and manage refunds with minimal code.

Solving the Payment Integration Gap

Many AI assistants struggle to interact with external payment services because they lack native support for secure, stateful transactions. The Onepay MCP Server fills this gap by providing a consistent, authenticated API surface that respects Onepay’s OAuth and webhook mechanisms. Developers can now ask an assistant to “charge my customer for $25” or “refund the last payment,” and the server translates those high‑level commands into the precise REST calls required by Onepay.la.

Core Capabilities

  • Resource Exposure: The server exposes core Onepay entities—customers, payments, invoices—as MCP resources. Each resource includes standard CRUD operations mapped to Onepay’s endpoints.
  • Tool Generation: For common tasks (e.g., , ), the server auto‑generates MCP tools that can be invoked by a model with natural language prompts.
  • Prompt Templates: Pre‑defined prompt templates guide the AI in structuring requests, ensuring required parameters (amount, currency, customer ID) are supplied correctly.
  • Sampling & Validation: Built‑in response sampling and schema validation guarantee that the assistant’s output conforms to Onepay’s expected payloads, reducing runtime errors.

Real‑World Use Cases

  • E‑commerce Checkouts: An AI assistant can process orders on a storefront, automatically creating Onepay invoices and confirming payment status.
  • Subscription Management: The server can schedule recurring payments, handle upgrades/downgrades, and notify users of upcoming charges.
  • Customer Support: Agents powered by Claude can retrieve transaction histories, issue refunds, or dispute payments in real time.
  • Analytics Dashboards: By querying Onepay data through MCP, developers can feed live financial metrics into conversational dashboards for executives.

Seamless Integration with AI Workflows

Integrating the Onepay MCP Server is straightforward for developers familiar with MCP. The server’s tools can be referenced in a model’s tool list, and its prompts can be chained with other MCP resources (e.g., a database query followed by a payment). Because the server handles authentication and error mapping, developers can focus on higher‑level business logic rather than plumbing.

Unique Advantages

  • Zero‑Code Payment Integration: Eliminates the boilerplate of SDKs or custom HTTP clients.
  • Security‑First Design: OAuth flows and token rotation are managed internally, ensuring compliance with Onepay’s security requirements.
  • Extensibility: New Onepay endpoints can be added to the MCP schema without modifying client code, thanks to the server’s dynamic resource mapping.

In summary, the Onepay MCP Server empowers AI assistants to perform robust payment operations with confidence and speed, turning complex transactional logic into simple conversational commands.