For the complete documentation index, see llms.txt

AI

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This hub is for builders who ship agent workflows and connect MCP clients to live chain data and transactions on Rootstock.

Core pillars

Pillar	Description	Primary tool
Connectivity	Expose chain reads and scoped actions to MCP clients.	Rootstock MCP Server
AI Agents	A dApp that connects a conversational agent to Rootstock testnet for balance checks, transfers, and other scoped actions.	AI Agent Rootstock

Key concepts

1. Model Context Protocol (MCP)

MCP connects clients to tools and data sources. The Rootstock MCP Server can read balances, contract state, and gas estimates so responses reflect current chain data.

2. Conversational agents with on-chain actions

The AI agent guide walks through a minimal dApp that connects a conversational agent to Rootstock testnet. Users can check token balances and send tRBTC through chat. The agent reads wallet data, keeps conversational context, and submits scoped token actions.

Tools

• Rootstock MCP Server: Exposes chain reads and safe actions to MCP clients. Access the Server.
• LangChain / Eliza: Orchestration frameworks you can point at Rootstock RPC and wallets.

Implementation guides

Introduction to MCPs

This section demonstrates how to interact with the Rootstock blockchain to build and deploy innovative AI-enabled dApps.

Build Conversational AI Agents

Build a lightweight dApp that connects a conversational AI agent to the Rootstock testnet for balance checks, tRBTC transfers, and other scoped on-chain actions through chat.