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Genoland unveils ‘gnomcp’ AI tool and ‘Dora’ security system

Dong-A Ilbo | Updated 2026.08.20
Support for integration with existing AI development environments… first offered on the testnet with feedback incorporated
Enhancing on-chain security through an AI-based proactive vulnerability detection system
Provided by Gno.land
Smart contract platform Gno.land has announced the expansion of its ecosystem with the release of an AI coding tool integration environment and an AI-based security verification system.

Gno.land stated that it has released ‘gnomcp’, an open-source server that supports integration with AI development tools, and ‘Dora’, an AI security system. The move aims to improve development convenience and strengthen security responsiveness amid growing use of AI technologies.

‘gnomcp’ connects AI tools with the Gno.land network based on the Model Context Protocol (MCP). It is structured to allow AI agents to query network status and utilize information on Gno.land’s smart contracts, known as ‘Realms’.

It also supports integration with existing AI development tools such as Claude Code, Claude Desktop, Cursor, and Gemini CLI. The intention is to reduce the burden of building or learning a new dedicated development environment. gnomcp is currently operating on the testnet and will be enhanced by incorporating user feedback in the future.

The AI security system ‘Dora’, released concurrently, analyzes Gno.land’s source code and Realms to detect vulnerabilities. When a vulnerability is found, it reproduces and verifies actual attack scenarios and identifies whether issues have been resolved after code modifications.

Jae Kwon, CEO of NewTendermint, said, “With the advancement of AI, it has become increasingly important to detect security vulnerabilities preemptively,” adding, “Dora examines issues from an attacker’s perspective and delivers results after going through reproduction and fix verification processes.”

Gno.land plans to promote the expansion of the development environment using gnomcp, while broadening Dora’s inspection scope and sequentially disclosing its security assessment results.

Choi Yong-seok

AI-translated with ChatGPT. Provided as is; original Korean text prevails.
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