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Documentation Index

Fetch the complete documentation index at: https://dev.moonpay.com/llms.txt

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

AI coding agents can search and reference the MoonPay Platform documentation directly from your development environment. The docs provide four integration points: an MCP server for real-time search, agent skills for structured capabilities, llms.txt files for bulk context, and contextual code actions on every code block.

MCP server

The documentation includes a Model Context Protocol (MCP) server that gives AI agents direct access to search and retrieve content. Instead of relying on web search, your agent queries the documentation index for accurate, up-to-date results. The server URL is:
MCP server URL
https://dev.moonpay.com/mcp

Connect your client

Run the following command to add the MCP server to Claude Code:
Add MCP server
claude mcp add --transport http moonpay-docs https://dev.moonpay.com/mcp
By default this adds the server to your local scope. Use --scope project to share the configuration with your team via .mcp.json, or --scope user to make it available across all your projects.

Skills

The documentation publishes a SKILL.md file that describes MoonPay Platform capabilities in a structured, machine-readable format. Unlike the MCP server, which responds to individual queries, SKILL.md gives an agent a complete picture of available workflows, required inputs, and constraints up front. View the generated file at dev.moonpay.com/SKILL.md.

Install skills

Run the following command to add MoonPay Platform skills to your agent’s context:
npx skills add https://dev.moonpay.com
The skills CLI discovers and installs the skill.md file automatically. Once installed, your agent can reference MoonPay Platform capabilities without additional configuration.

Contextual code actions

Code blocks throughout these docs include contextual actions for sending code directly to an AI tool. Hover over any code block to see options for Cursor, Claude, and ChatGPT. Each option copies the code along with surrounding documentation context so the AI tool understands how to use it.

llms.txt

The documentation provides llms.txt files for direct content ingestion by large language models:
FileDescription
llms.txtA concise summary of the documentation structure and key pages
llms-full.txtThe complete documentation content for full-context indexing
Use these files to give an AI tool broad context about the MoonPay Platform without connecting to the MCP server. You can paste the contents into a chat session or point a tool at the URL directly.