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Build with AI

Point Claude, ChatGPT, or Cursor at the RizPay docs MCP and build against the API faster

RizPay's documentation is AI-native. You can point your AI coding tools straight at these docs and have them read, search, and reason over the RizPay API while you build - no copy-pasting pages into a chat window.

The fastest way is the RizPay Docs MCP server. It lets tools like Claude, ChatGPT, and Cursor search these docs and pull full pages on demand, so your assistant answers with real RizPay reference material instead of guessing.

The RizPay Docs MCP

MCP (the Model Context Protocol) is an open standard that lets AI tools connect to external data sources. RizPay runs a small, read-only MCP server over these docs.

Endpointhttps://www.rizpay.app/api/mcp
TransportStreamable HTTP
AuthNone - the docs are public
ScopeRead-only. It only searches and returns documentation.

It exposes two tools:

  • search_docs(query, source?, limit?) - Search the developer and storefront docs. Returns ranked results, each with a title, source, URL, markdown URL, and snippet.
    • query (required) - your search terms.
    • source (optional) - limit to one docs source: developers or storefront.
    • limit (optional) - max results, default 8, max 25.
  • get_doc(source, slug) - Fetch the full markdown of one page.
    • source (required) - developers or storefront.
    • slug (required) - the path within that source, e.g. getting-started/quickstart or reference/error-codes.

A typical flow: your assistant calls search_docs to find the right page, then get_doc to read it in full before writing code against the API.

Set it up in your AI tool

Pick your client below. The endpoint is the same everywhere: https://www.rizpay.app/api/mcp. There is no API key to configure - the docs are public.

Claude Code

Add the server with a single command:

bash
claude mcp add --transport http rizpay-docs https://www.rizpay.app/api/mcp

Then check it registered:

bash
claude mcp list

Prefer to configure it by hand? Add this to your .mcp.json (project scope) or your user config:

json
{
  "mcpServers": {
    "rizpay-docs": {
      "type": "http",
      "url": "https://www.rizpay.app/api/mcp"
    }
  }
}

Claude Desktop and claude.ai

Add RizPay as a custom connector by URL:

  1. Open Settings > Connectors.
  2. Click Add custom connector.
  3. Name it RizPay Docs and paste the URL https://www.rizpay.app/api/mcp.
  4. Save. No authentication is required.

Once connected, ask Claude to search the RizPay docs and it will use the search_docs and get_doc tools automatically.

Cursor

Create .cursor/mcp.json in your project (or add to the existing file):

json
{
  "mcpServers": {
    "rizpay-docs": {
      "url": "https://www.rizpay.app/api/mcp"
    }
  }
}

Cursor picks up the server on the next reload. You can then reference the RizPay docs from Cursor's chat and agent.

ChatGPT

In ChatGPT, add RizPay as a custom connector by URL:

  1. Open Settings > Connectors (custom connectors require a plan that supports them; some clients gate this behind developer mode).
  2. Add a connector and paste https://www.rizpay.app/api/mcp.
  3. No authentication is needed.

Generic mcp.json

Most MCP clients read a config block in this shape. Adapt the key names to your client if they differ:

json
{
  "mcpServers": {
    "rizpay-docs": {
      "type": "http",
      "url": "https://www.rizpay.app/api/mcp"
    }
  }
}

Other AI-forward options

If you cannot use MCP, the docs are still easy to feed to an AI tool:

  • Copy page as Markdown - every docs page has a "Copy page" button with a dropdown. It copies the page as clean Markdown, or opens it directly in Claude.ai, ChatGPT, or Cursor.
  • Markdown version of any page - append .md to any docs URL to get raw Markdown. For example, https://www.rizpay.app/developers/docs/getting-started/quickstart.md.
  • llms.txt - a concise, linked index of every docs page, for AI tools that follow the llms.txt convention.
  • llms-full.txt - the entire docs corpus concatenated into one file, ready to paste into a large-context model.
  • OpenAPI specification - the machine-readable API spec, useful for generating clients or grounding an assistant in exact request and response shapes.

Build faster: a quick example

With the MCP connected, you can let your assistant do the doc lookup for you. Try a prompt like:

Using the RizPay docs MCP, show me how to check my account balance and then buy MTN airtime. Include the exact endpoints, headers, and request body.

Your assistant will call search_docs to find the relevant pages, get_doc to read them in full, and then write the integration against the real RizPay API - for example the Quick Start flow, complete with the external_reference rules from Duplicate Prevention.

Because the assistant is reading the live docs, it stays current with the API instead of relying on stale training data.

Next Steps