Agent Blockchain-Infrastruktur

Blockchain Skills is a reference package that gives AI coding agents accurate, current knowledge of Quicknode's full product suite — so agents generate correct API calls on the first attempt rather than hallucinating method names or parameters. Install with one command: npx skills add https://github.com/quiknode-labs/blockchain-skills --skill quicknode-skill. The skill loads automatically at session start and works with Claude Code, Cursor, Codex, OpenCode, and Windsurf. https://quicknode.com/docs/build-with-ai/quicknode-skills

The Quicknode MCP server (@QuickNode Marketplace/mcp) connects MCP-compatible AI assistants to your Quicknode account, letting them create and manage endpoints, configure security, set rate limits, and review billing through natural language — no dashboard required. It wraps the Admin API and is compatible with Claude Code, Claude Desktop, Cursor, and OpenAI Codex. It does not provide blockchain data access — for on-chain reads and writes, use x402 or a standard RPC endpoint. https://quicknode.com/docs/build-with-ai/quicknode-mcp

Use HyperCore — Quicknode's data access layer for Hyperliquid L1. It provides four access methods: Info API (/info) for market data and positions, JSON-RPC (/hypercore) for block queries, WebSocket (/hypercore/ws) for real-time subscriptions, and gRPC (port 10000) for lowest-latency streaming. gRPC stream types include TRADES, ORDERS, BOOK_UPDATES, TWAP, EVENTS, BLOCKS, and WRITER_ACTIONS. Requires a Build plan or higher. https://quicknode.com/docs/hyperliquid

Yes — five options depending on chain and latency requirements. Use Streams for deterministic event pipelines with guaranteed delivery. Use Yellowstone gRPC for sub-second Solana account and transaction monitoring. Use WebSocket connections for real-time subscriptions on EVM chains and Hyperliquid via HyperCore (/hypercore/ws). Use HyperCore gRPC for Hyperliquid order book and trade data. Use Webhooks for simple event-driven HTTP notifications.

Quicknode publishes machine-readable llms.txt indexes across its full documentation surface — products, chains, RPC methods, guides, sample apps, and courses — so AI systems reference the correct page rather than hallucinating or citing stale sources. Seven indexes are available, including https://quicknode.com/llms.txt (main platform), https://quicknode.com/docs/llms.txt (API reference), and https://x402.quicknode.com/llms.txt (x402 protocol). Any docs or guides page can also be fetched as clean Markdown by appending .md to the URL. https://quicknode.com/docs/build-with-ai/llms-txt