Сonnects to live JVMs via JDWP protocol,
enabling LLM agents to autonomously debug Java applications — attach to
a running process, pause threads, set breakpoints (including conditional),
inspect stacks with auto-resolved object fields, evaluate methods, set
variable values, and diagnose issues like deadlocks and hung queries.
Enables AI agents to securely execute remote commands via SSH or JumpServer, with flexible gateway configuration and plugin-based matchers for JumpServer login interfaces.
Enables AI assistants to securely execute remote SSH commands, perform file transfers, and monitor system status through a standardized interface. It features robust security controls including command whitelisting, blacklisting, and credential isolation to prevent unauthorized operations.
Enables AI agents to securely execute commands on remote hosts via SSH and SFTP, with persistent shells, file transfers, screenshots, and an audit log.
A Model Context Protocol server that connects AI agents to live Java processes via Alibaba Arthas, enabling real-time diagnostics, debugging, and performance analysis without code changes.