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AI Tools for Aptos Development

Aptos provides first-class support for AI-powered development workflows. Whether you’re using an AI coding assistant or an AI chat tool, you can give it deep knowledge of the Aptos blockchain, Move language, SDKs, and APIs.

The AskAptos chatbot is built into the documentation site — look for it in the top-right corner of the navigation bar. It can answer questions about Aptos concepts, help you plan implementations, and point you to the right documentation pages.

The Model Context Protocol (MCP) lets AI coding tools directly call Aptos APIs, query on-chain data, and generate correct Aptos code — without needing to copy-paste documentation.

Aptos Agent Skills provides pre-built AI skills that give coding assistants deep Aptos expertise — covering Move smart contracts, the TypeScript SDK, and full-stack dApp scaffolding.

Terminal window
npx skills add aptos-labs/aptos-agent-skills

This command uses the Skills CLI, which is invoked via npx. If npx skills is not available in your environment, ensure you have Node.js and npm installed and refer to the Skills CLI documentation for installation and troubleshooting details.

The LLMs.txt standard provides machine-readable documentation feeds that AI tools can ingest to understand the full Aptos documentation. We publish three feeds to suit different context window sizes:

FeedURLBest for
llms.txt/llms.txtStructured index with page titles, descriptions, and per-page .md links
llms-small.txt/llms-small.txtCondensed docs for smaller context windows
llms-full.txt/llms-full.txtFull documentation — all pages concatenated

Some clients resolve /.well-known/llms.txt; production serves the same index via a redirect to /llms.txt (https://aptos.dev/.well-known/llms.txt).

The llms.txt router also surfaces machine-readable API links—/aptos-spec.json (OpenAPI 3 JSON for the node REST API) and /rest-api (HTML reference)—plus MCP, Agent Skills, Explorer, GitHub, standards, and Indexer GraphQL .md links in one place.