# Etherscan unveils AI tools for agents with new API features across 60+ EVM chains > Source: > Published: 2026-08-31 12:20:46+00:00 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/).