Integrates the Quint formal specification language into LLM workflows for accessible formal verification. It provides tools for type-checking, random simulation, exhaustive model checking, and syntax documentation.
Enables AI agents to traverse SysML v2 model graphs, query requirements, and perform impact analysis for model-based systems engineering. It allows agents to interact with plain-text models to automate documentation and refine system architectures.
Exposes the TLA+ toolchain (TLC, SANY, PlusCal, TLATeX) as structured JSON tools via the Model Context Protocol, enabling AI assistants to parse, check, simulate, and typeset TLA+ specifications.
Enables AI agents to compile, execute, and check Almide code for syntax or compilation errors. It provides tools for generating ASTs and accessing language grammar resources.
Enables AI agents to query and analyze code across multiple repositories through a unified knowledge graph, with tools for symbol search, impact analysis, and graph algorithms.
Enables AI agents to create, validate, and export UML system models using structured MSON format. Supports generating PlantUML and Mermaid diagrams with direct export to System Designer macOS application.
