Etherscan on Aug. 31 released a new toolkit built for AI use cases, giving developers and autonomous agents direct access to the same reliable onchain data available on the Etherscan website. The suite spans more than 60 EVM-compatible chains and delivers structured, authenticated, real-time data through three access methods: MCP, CLI, and Skills. Etherscan MCP lets programming agents such as Claude and Codex query onchain information with natural language. The CLI tool can return clean outputs in JSON, table, or CSV format from the terminal and includes an interactive interface. The Skills module adds built-in functions such as Orchestrator, contract review, transaction debugging, and workflow orchestration to help agents handle more complex tasks. Etherscan said the toolkit is designed to lower the barrier between AI systems and blockchain data, and added that developers can get started quickly through its official documentation. The company also invited users to share feedback and show applications built with the new tools.
Etherscan on Aug. 31 launched a new toolkit built for AI, allowing developers and autonomous agents to directly access the same reliable onchain data available on the Etherscan website.
The suite covers more than 60 EVM-compatible chains and provides AI agents with structured, authenticated, real-time data access through three methods: MCP, CLI, and Skills.
Three ways for AI agents to access data
Etherscan MCP supports natural-language queries for onchain information from mainstream coding agents including Claude and Codex. The CLI tool can return clean results in JSON, table, or CSV format in the terminal, and it also includes an interactive interface.
The Skills module comes with built-in capabilities such as Orchestrator, contract review, transaction debugging, and workflow orchestration, aimed at helping agents complete more complex tasks more efficiently.
Developer onboarding and feedback
Etherscan said the tools are intended to lower the barrier to interaction between AI systems and blockchain data. Developers can get started through the official documentation, and the company said it also welcomes user feedback and examples of innovative applications built with the toolkit.
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