OWL MCP server

This is a small helper program that connects your AI assistant to your OWL, TTL or RDF files. These are files that describe knowledge in a structured way, like a map of classes and things and how they relate. It is handy if you work with knowledge graphs and would rather ask questions in plain words than write tricky query code yourself.

What this MCP server does

You ask your AI something about your knowledge file, like what classes it has or which items match a rule. The AI passes your request to this helper program. The helper opens your file, reads or searches it, and sometimes runs a reasoning tool to find facts that are not written down directly. Then it sends the answer back, and your AI shows it to you in the chat. If you ask it to add something, it updates the file in memory, and you can save it when you are ready.

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What you can do with it

• Load an OWL, TTL or RDF file from your computer or from a web address
• List the classes, individuals and properties in your file
• Describe one class or one individual in detail
• Search for a class, individual or property by keyword
• Run a SPARQL query to pull out exactly what you need
• Add new classes, individuals or property links
• Run a reasoner to check your file for logical problems and find hidden facts
• Save your changes back to a file

Try asking your AI

• “Load my ontology file at C:/work/example.ttl and give me an overview”
• “List all classes that start with bank”
• “Describe the BankStatement class and its properties”
• “Add a new class called AA with parent BB and label CC, then save it as turtle”
• “Run the HermiT reasoner and tell me if my ontology is consistent”

What it gives back to you

You get back plain answers in the chat: lists of classes or individuals, short descriptions of a class or item, or the rows from a SPARQL query. When you run the reasoner, it tells you whether your file is consistent and what new facts it found. When you add something, it confirms what was added, and after saving it tells you where the file was written.

Before you start

Who it's for

People who work with knowledge graphs, ontologies or structured data, such as researchers, data modelers and analysts in finance, health or engineering.