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Documentation Index

Fetch the complete documentation index at: https://docs.giveready.org/llms.txt

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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.

How It Works

From a charity question to a cited answer

API Reference

Search, recommend, and verify via REST

MCP Server

Connect AI assistants via Model Context Protocol

Guides

Verified, citation-ready charity guides

At a Glance

Nonprofits indexed41,000+ across 29 cause areas, with a verified core checked against official registries
Primary valueVerified data AI assistants cite when answering charity questions
VerificationRegistration checked against official registries (UK Charity Commission, SA NPC, and others)
Assistant accessMCP server, REST API, OpenAPI spec, llms.txt, agents.md
DiscoveryBy cause, country, keyword, and impact metrics
DonationsDirect and human-approved. Low-fee USDC on Solana today; card and bank transfer coming
Registryio.github.gswardman/giveready on the MCP registry · npx giveready-mcp