Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.
Connects AI agents to OPC UA-enabled industrial systems for real-time monitoring and control of operational data. It enables users to read, write, and browse industrial device nodes through natural language interactions.
Enables AI assistants to interact with laboratory devices via a SiLA server, allowing querying device info, listing commands, executing commands, and monitoring status.
Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.
Exposes a deterministic IoT edge runtime — Modbus/CAN/J1939 acquisition, local rules, alarms, and history — to AI assistants as typed, governed MCP tools. Reads are safe by default; device control stays deny-by-default, explicitly confirmed, and audited.
Provides permission gates and tamper-evident audit logging for AI agent tool executions, with declarative policies, consent ladders, and hash-chained verification.