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Give your payment team a faster way to investigate operations through your corporate AI assistant.
Connect Claude, ChatGPT, GitHub Copilot or another MCP-capable assistant to supported Payneteasy data. Ask it to compare performance, trace orders and explain routing in plain language, while access stays scoped, time-bounded and revocable.
Payneteasy MCP connects an MCP-capable AI assistant to operational data and supported tools inside the Payneteasy payment platform.
A team member can give the assistant a command in plain language. MCP helps the assistant resolve the relevant entities, query the permitted data and return a structured answer based on current back-office information.
It can investigate and explain. Through MCP, it cannot authorise, capture or refund payments, initiate payouts, move funds or change platform settings.
Payment operations teams work with approval rates, decline reasons, transaction volumes, fraud and chargeback indicators, routing paths, processor performance and individual order histories.
Finding an answer often means switching between dashboards, filtering reports and matching identifiers across the back office. MCP lets the team start with an operational question and review the supporting data returned by the platform.
With Payneteasy MCP, an assistant can answer practical payment operations questions in plain language.
Compare approved, declined and fraud-filtered transaction volume for this merchant this month with last month.
The assistant returns totals, ratios and trends for both periods, then breaks down the difference by the available dimensions.
What were the top decline and fraud reasons for this merchant last month?
The assistant groups the data by reason, status, issuer country, card type or other available operational dimensions, helping the team identify patterns faster.
Find the failed order for this invoice and explain what happened.
The assistant finds the matching order, shows its status, decline reason, routing path and processing trail, and explains where the payment failed.
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Use AI agent payment operations queries to understand transaction activity without building manual reports.
Payneteasy MCP can help read
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Sometimes a team does not need a full report. It needs to understand one transaction.
Payneteasy MCP helps an AI assistant find individual orders, read relevant order details, check status, routing path and processing trail. The agent can explain where a payment progressed or stopped without exposing raw PAN or CVV and without permission to perform payment actions.
The assistant can read
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Payment operations often depend on the configuration behind the transaction.
Payneteasy MCP lets an AI assistant retrieve platform records such as merchants, projects, endpoints, gates and processors. The typical flow is search → resolve → inspect. The assistant can explain how these entities relate, but through MCP it cannot change platform settings.
MCP gives the AI assistant the operational data and context needed to investigate a question. It does not automatically send an action request to another API. When a task requires a back-office action, the UI API provides a separate integration route.
The UI API is the production interface behind Orders, Reports, Tools and Settings. Its OpenAPI 3.0.1 specification covers more than 130 services and 1,500 operations; what an integration can see and call depends on its access level.
With separately configured credentials, an internal system or AI assistant can call only the methods selected for its restricted token and allowed by the issuing user's rights. Payneteasy recommends issuing automation credentials from a purpose-made service user rather than an administrator account.
Read the UI API automation guide
Investigate statistics, orders, logs, routing and platform entities through plain-language commands.
Carry out explicitly permitted back-office tasks through a separate integration, credentials and restricted token.
Handle payment operations such as authorisations, captures, refunds and payouts through the processing interface.
Access is designed around a clear operating boundary and credentials controlled by your organisation.
The assistant can query and explain operational data. It cannot use MCP to authorise, capture or refund payments, initiate payouts, move funds or change platform settings.
MCP can return aggregates, statuses, routing information, card metadata and masked contacts. It does not expose raw PAN or CVV to the assistant.
A restricted token controls access to the available MCP tools. It can be time-bounded and revoked, and production and sandbox credentials remain separate.
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Connect an MCP-capable corporate AI assistant to the Payneteasy MCP endpoint with a restricted token.
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The MCP server exposes the available tools and capabilities. These can include transaction statistics, order lookup and platform reference data such as merchants, projects, endpoints, gates and processors.
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The team asks operational questions in natural language. The assistant resolves names to IDs where needed, queries the allowed data and returns a clear answer based on Payneteasy backoffice information.
Hosted Fields is separate from MCP and the UI API. It is a checkout integration for merchants that want to keep their own payment page, design and theme.
The card number, expiry date and CVV inputs are loaded as separate cross-origin iframes served by Payneteasy. The merchant controls the layout and everything around the fields, while raw card details stay outside its page code, backend requests and logs.
When the payer submits the form, Payneteasy returns a single-use hostedFieldsToken. The merchant server sends that token in the subsequent Sale or Preauth request instead of the raw card parameters.
Hosted Fields can reduce PCI DSS scope, but it does not remove all PCI DSS obligations. The applicable requirements depend on the overall integration.
Payneteasy MCP is designed for teams that need better access to operational payment data without giving AI agents control over payment actions.
MCP gives the assistant operational context. The UI API can support separately authorised back-office actions. The Processing API handles payment operations. Hosted Fields protects the collection of sensitive card details while the merchant keeps its checkout.
The Payneteasy white-label gateway is a separate product for running payment services under your own brand. MCP focuses on controlled, machine-readable access to payment operations data and related platform entities, without permission to perform payment actions or change platform settings.
Payneteasy is a technology platform, not a bank or payment facilitator Payneteasy MCP allows AI agents to query operational data from the Payneteasy backoffice through the Model Context Protocol. It helps assistants answer questions about transaction statistics, individual orders and platform reference data, without permission to perform payment actions or change platform settings.
Yes, provided the selected corporate AI environment supports the required remote MCP connection and authentication. Payneteasy documents setup for Claude Desktop and Claude Code, Cursor, VS Code with GitHub Copilot Agent Mode, and other MCP clients. ChatGPT can connect where the corporate ChatGPT environment supports the same requirements.
No. Through MCP, the assistant cannot authorise, capture or refund payments, initiate payouts, move funds or change platform settings. Back-office actions require a separate UI API integration; payment operations use the separate Processing API.
Payneteasy MCP does not expose raw card data such as PAN or CVV. The layer works with aggregates, operational records, routing details, card metadata and platform data without returning raw card numbers into the AI assistant context.
A company can separately connect an assistant or internal system to the UI API. MCP does not automatically hand a task to that API. A restricted token limits the integration to selected methods and to the rights of the user that issued it; for automation, Payneteasy recommends a purpose-made service user rather than an administrator account.
No. The white-label gateway is a separate product for running payment services under your own brand. MCP gives AI agents controlled access to operational backoffice data for analysis, investigation and reporting.
Payneteasy MCP is useful for PSPs, fintech platforms, payment operations teams, risk and fraud teams, analysts and platform teams that need faster access to payment operations data through AI while keeping access scoped, controlled and revocable.
Connect AI agents to operational data in your Payneteasy backoffice and help teams access transaction analytics, order trails and platform records through plain-language questions.
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