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A Terraforming MCP for Knowledge Graphs Validate, classify, and govern AI-generated ontologies. Written in Rust. Ships as a single binary.
Quick Start · Studio · Benchmarks · IES · Tools · Architecture · Docs
Open Ontologies is a Rust MCP server and desktop Studio for AI-native ontology engineering. It exposes 43 tools that let Claude build, validate, query, diff, lint, version, reason over, align, and persist RDF/OWL ontologies using an in-memory Oxigraph triple store — with Terraform-style lifecycle management, a marketplace of 32 standard ontologies, clinical crosswalks, semantic embeddings, and a full lineage audit trail.
The Studio wraps the engine in a visual desktop environment: virtualized ontology tree with hierarchy lines, breadcrumb navigation, and connection explorer; AI chat panel with /build (IES-level deep) and /sketch (quick prototype) commands; Protégé-style property inspector; and lineage viewer.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want fabio-rovai/open-ontologies again. Will you remember where to find it?
Save it to your library and the next time you need fabio-rovai/open-ontologies, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. fabio-rovai/open-ontologies. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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