Plugin

open-ontologies

AI-native ontology engineering with 39 MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies using a generate-validate-iterate loop. Supports SPARQL querying, SHACL validation, OWL-RL reasoning, Terraform-style lifecycle management (plan/enforce/apply/monitor/drift), data ingestion from CSV/JSON/XML/XLSX/Parquet, clinical terminology crosswalks (ICD-10, SNOMED CT, MeSH), and ontology alignment with self-calibrating confidence. Written in Rust this is a single binary, no runtime dependencies.

• Published source
• Repository

Analysed

11 October 2026

Last observed

11 October 2026

What the code does

• Runs shell commands Code that starts system commands on the machine it runs on.
• Starts other processes Code that launches separate programs.
• Sends data to outside servers Code that posts data to network addresses.
• Evaluates code at runtime Code that builds and runs code while it executes.
• Asks your agent's AI to write text The server can request text from the agent's own model (MCP sampling).

Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.

This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.