Enables agents to work with local hardware engineering context — registered repositories, imported PDFs and documents, and user-created system diagrams — through stdio tools for bounded source search and file reading, document text extraction and PDF page/crop rendering, and reading or drafting system architecture models. It runs entirely on local storage with no code index, hosted backend, or model provider routing, leaving the agent's own model, keys, and permissions intact.
Enables local, offline inspection and analysis of agentic AI projects by scanning project structure, detecting agent tools, and generating architecture reports through MCP tools, resources, and prompts.
Enables AI clients to safely read, search, understand, and edit local project code and files, with Git inspection, code indexing, and controlled command execution within permissioned workspaces.
Enables AI agents to read and understand local Mendix project structure and logic by connecting directly to the .mpr file via MCP. Allows querying microflows, entities, attributes, and modules in read-only mode without requiring cloud access.
Enables AI agents to safely inspect a local repository's code and metadata while blocking private data from leaving the machine, providing read-only tools for search, change tracking, and integrity verification.
