Etherscan unveils AI tools for agents with new API features across 60+ EVM chains

Etherscan launched its 'Build with AI' suite in late August 2026, introducing a Model Context Protocol (MCP) server that gives AI agents structured, read-only access to on-chain data across more than 60 EVM-compatible chains through a single endpoint. The suite includes roughly 20 tools, including 'Etherscan Flow' for tracing money movements, and aims to reduce AI hallucination by grounding models in verified blockchain data.

Photo: Photo: Steve A Johnson / Pexels / Pexels Etherscan unveils AI tools for agents with new API features across 60+ EVM chains The blockchain explorer's new Model Context Protocol server gives AI agents structured, read-only access to on-chain data through a single endpoint Etherscan just quietly shipped one of the most consequential infrastructure upgrades in recent memory, and it has nothing to do with a token launch. The blockchain explorer rolled out its “Build with AI” suite in late August 2026, giving AI agents and coding assistants like Claude and ChatGPT a direct pipeline to on-chain data across more than 60 EVM-compatible chains. The centerpiece is a Model Context Protocol MCP server, essentially a standardized interface that lets AI models query blockchain data the same way a developer would, but without the duct-tape integration work that typically comes with wiring up APIs to language models. What the MCP server actually does The official endpoint lives at mcp.etherscan.io/mcp and exposes roughly 20 tools covering the core building blocks of blockchain interaction: balance queries, transaction lookups, token transfer histories, contract details, gas prices, and event logs. All accessible through a single API endpoint, authenticated with a standard Etherscan API key. One standout feature is “Etherscan Flow,” a tool designed for tracing money movements across addresses. Transaction debugging tools are also part of the package, paired with machine-readable documentation that makes it easier for AI systems to understand what each endpoint returns and how to use it correctly. The entire suite operates in read-only mode and respects standard API quotas and rate limits. Why this matters for AI and crypto infrastructure Data hallucination is the specific villain this suite is designed to fight. When an AI model fabricates a wallet balance or invents a transaction that never happened, the consequences range from embarrassing to financially catastrophic. By grounding AI agents in verified on-chain data through a structured protocol, Etherscan is addressing what’s arguably the biggest trust gap in crypto-AI applications. The 60+ EVM chain coverage spans the sprawling ecosystem of Layer 2 networks, sidechains, and alternative EVM-compatible blockchains. For developers building multi-chain AI tools, having a single authentication and query layer across all of them eliminates a significant amount of engineering overhead. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .