> ## Documentation Index
> Fetch the complete documentation index at: https://docs.giveready.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> The verified nonprofit data layer that AI assistants cite

# GiveReady

GiveReady is the open, structured data layer that AI assistants cite when people ask where to give. When someone asks Claude, ChatGPT, or Perplexity "what's a good youth charity in the UK?", a trustworthy answer needs verified nonprofit data behind it. GiveReady is that data: a directory of nonprofits with checked registrations, structured programme details, and machine-readable profiles any AI assistant can read, cite, and link.

## What GiveReady Does

When an AI assistant answers a charity-discovery question, it needs a source it can trust and attribute. Generic web results give it marketing pages and listicles of unknown provenance. GiveReady gives it a neutral, structured directory where each verified nonprofit's registration has been checked against an official registry, so the assistant can recommend a real organisation and show why.

For **AI assistants and developers**, GiveReady offers a structured REST API, an MCP server, an OpenAPI spec, and crawler-readable files (`llms.txt`, `agents.md`). An assistant can search by cause, country, or impact, check verification status, and return a verified recommendation with its source — in a single call.

For **nonprofits**, GiveReady provides a free, structured profile that AI assistants worldwide can discover and recommend. Claiming a profile takes minutes, and because the data is machine-readable and verified, it can be cited in the AI answers people increasingly act on.

When a donor decides to give, GiveReady also provides direct, low-fee donation rails — but the donation is always a separate, human-approved step, never an autonomous one.

## Why It Matters

A growing share of "where should I donate?" questions are answered by an AI assistant, not a search engine. Whatever data those assistants cite is what people act on. If small, verified nonprofits aren't in that data, they are invisible at the exact moment a donor is deciding. GiveReady exists so the answer an assistant gives is grounded in a verified directory rather than whatever marketing page ranked that day.

<CardGroup cols={2}>
  <Card title="How It Works" icon="route" href="/how-it-works">
    From a charity question to a cited answer
  </Card>

  <Card title="API Reference" icon="code" href="/api/overview">
    Search, recommend, and verify via REST
  </Card>

  <Card title="MCP Server" icon="plug" href="/mcp/introduction">
    Connect AI assistants via Model Context Protocol
  </Card>

  <Card title="Guides" icon="book-open" href="https://giveready.org/guides">
    Verified, citation-ready charity guides
  </Card>
</CardGroup>

## At a Glance

|                        |                                                                                              |
| ---------------------- | -------------------------------------------------------------------------------------------- |
| **Nonprofits indexed** | 41,000+ across 29 cause areas, with a verified core checked against official registries      |
| **Primary value**      | Verified data AI assistants cite when answering charity questions                            |
| **Verification**       | Registration checked against official registries (UK Charity Commission, SA NPC, and others) |
| **Assistant access**   | MCP server, REST API, OpenAPI spec, `llms.txt`, `agents.md`                                  |
| **Discovery**          | By cause, country, keyword, and impact metrics                                               |
| **Donations**          | Direct and human-approved. Low-fee USDC on Solana today; card and bank transfer coming       |
| **Registry**           | `io.github.gswardman/giveready` on the MCP registry · `npx giveready-mcp`                    |