Overview

Quicknode publishes llms.txt indexes across its documentation, guides, and developer resources. These plain-text files follow the llms.txt standard and are designed to help AI tools, LLMs, and developers using AI find and reference the right content for any blockchain development task. The indexes cover Quicknode's full content surface: products, pricing, supported chains, marketplace add-ons, RPC methods and API references across all supported networks, development guides, sample applications, courses, and ecosystem resources.

# Fetch the main Quicknode documentation index for LLMs
curl https://www.quicknode.com/docs/llms.txt

TL;DR

• Quicknode publishes plain-text llms.txt indexes across docs, guides, sample apps, and courses. Point any AI agent or RAG pipeline at an index URL to give it access to the right content surface
• Indexes cover RPC methods, API references, guides, sample applications, pricing, supported chains, and ecosystem resources
• Append .md to any Quicknode content URL for a clean Markdown version suitable for LLM input or RAG ingestion

Available Indexes

Index	URL	Content
Main platform	quicknode.com/llms.txt	Products, chains, and platform resources
Documentation	quicknode.com/docs/llms.txt	RPC methods and API references across all supported networks and Quicknode products
Guides	quicknode.com/guides/llms.txt	Development guides and tutorials
x402	x402.quicknode.com/llms.txt	x402 payment protocol documentation
MPP	mpp.quicknode.com/llms.txt	MPP payment protocol documentation
Builder's Guide	quicknode.com/builders-guide/llms.txt	Web3 tool comparisons and ecosystem resources
Sample App Library	quicknode.com/sample-app-library/llms.txt	Sample applications and code examples
Courses	quicknode.com/courses/llms.txt	Blockchain development courses

Copy for AI

Quicknode documentation, guides, sample apps, and course pages include a Copy page button that lets you open the current page directly in Claude, ChatGPT, or Perplexity, or copy it as Markdown for use in any LLM.

You can also append .md to any Quicknode content URL to get a clean Markdown version, suitable for pasting into an LLM or using in a RAG pipeline. For example: https://www.quicknode.com/docs/ethereum.md

Usage

Point your AI coding agent or assistant at any index URL to give it access to the relevant documentation surface. For RAG pipelines, each index is plain text and organized by content category, making it straightforward to fetch, chunk, and ingest. The main platform index serves as a discovery layer for routing questions to the appropriate sub-index.

tip

For AI coding agents that need accurate Quicknode product knowledge built in, see Blockchain Skills. To manage your Quicknode infrastructure through a conversational AI interface, see Quicknode MCP.

We ❤️ Feedback!

If you have any feedback or questions about this documentation, let us know. We'd love to hear from you!