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Documentation Index

Fetch the complete documentation index at: https://docs.dintero.com/llms.txt

Use this file to discover all available pages before exploring further.

The Model Context Protocol (MCP) is an open standard that lets AI assistants search and read documentation directly. Your AI tools can look up API references, integration guides, and code examples without leaving your editor.

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Server URL

The Dintero MCP server is available at: 
https://docs.dintero.com/mcp

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Connect your AI tool

Run this command in your terminal:
claude mcp add --transport http dintero-docs https://docs.dintero.com/mcp
Verify the connection
claude /mcp
The server is now available in all Claude Code sessions. Ask Claude to search the Dintero docs when you need API details or integration guidance.

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Available tools

The MCP server exposes two tools:
ToolDescription
SearchFull-text search across all documentation pages. Returns matching snippets with titles and links.
Query filesystemRead page content, browse the docs structure, and extract specific sections. Supports batch reads across multiple pages in a single call.

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Example: Build a checkout integration

With the MCP server connected, your AI assistant can guide you through a full integration by pulling details directly from the Dintero docs. Here’s how a typical conversation might look:
1

Set up authentication

Prompt: “How do I authenticate with the Dintero API? Show me how to get an access token in Node.js.”The assistant looks up the auth service docs and returns working code using your account’s OAuth 2.0 client credentials flow.
2

Create a checkout session

Prompt: “I need to start a payment for a 299 NOK order with one item. How do I set that up with the Dintero API?”The assistant reads the session API reference and generates a request with the correct endpoint, amount format (smallest currency unit), and required fields.
3

Display the checkout

Prompt: “How do I embed the Dintero checkout in my React app?”The assistant finds the Web SDK docs and shows you how to install @dintero/checkout-web-sdk and use the embed function with your session ID.
4

Handle the payment result

Prompt: “What happens after the customer pays? How do I verify the transaction?”The assistant pulls from After payment to explain the callback and return URL flow, transaction statuses, and how to handle ON_HOLD scenarios.
5

Capture and refund

Prompt: “Show me how to capture this transaction, and how to do a partial refund later.”The assistant reads the transaction management docs and returns the correct capture and refund endpoints with example payloads.
Be specific in your prompts. Instead of “help me with payments”, try “show me the Dintero API request to capture a transaction for 150 NOK”. The more context you give, the more accurate the response.

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More example prompts

Beyond the checkout flow, try prompts like:
  • “How do I set up webhooks for transaction events in Dintero?”
  • “What test card numbers can I use in the Dintero sandbox?”
  • “Show me how to configure Express Checkout with shipping options”
  • “How does split payout work for marketplace sellers?”
Last modified on May 21, 2026