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OWL MCP Server

@scimcp

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Basic information

Category

Other

Transports

stdio

Author

scimcp

About OWL MCP Server

MCP server for OWL applications

#ai#mcp#semantic-web#ontology#web-ontology-language#model-context-protocol

OWL MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "owl-mcp": {
      "command": "uvx",
      "args": [
        "owl-mcp"
      ]
    }
  }
}

OWL MCP Server tools

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This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is OWL-MCP?

OWL-MCP is a Model-Context-Protocol (MCP) server that enables AI assistants to interact with Web Ontology Language (OWL) ontologies through standardized function calls. It is designed for ontology engineers, researchers, and developers working with OWL ontologies—especially OBO-style ontologies—who want to use natural language to create, read, update, and delete axioms.

How to use OWL-MCP?

Install any MCP‑enabled AI host (recommended: Goose Desktop or CLI) and add the OWL‑MCP extension using the command uvx owl-mcp. Once configured, ask the AI to create an ontology or add axioms; the server handles reading/writing the OWL file on disk and keeps an in‑memory model synchronized.

Key features of OWL-MCP

  • MCP Server Integration: connects AI assistants to OWL ontologies via the standardized protocol
  • Thread‑safe operations: supports concurrent access in multi‑user environments
  • File synchronization: automatically detects and syncs changes to the ontology file on disk
  • Event‑based notifications: register observers to be notified of ontology changes
  • Simple string‑based API: work with OWL axioms as strings in functional syntax
  • Label support: includes human‑readable labels for opaque IDs (common in OBO ontologies)

Use cases of OWL-MCP

  • Create a new OWL ontology from scratch using natural language prompts.
  • Add, modify, or remove axioms in an existing ontology without writing code.
  • Collaborate on ontology editing in a multi‑user setting with thread‑safe operations.
  • Synchronize ontology changes automatically between an AI assistant and Protege.

Frequently asked questions

1

What OWL formats does OWL-MCP support?

It accepts any format supported by the py‑horned‑owl library, but the OBO Guidelines recommend OWL functional syntax for source files.

2

How does file synchronization work?

OWL-MCP keeps an in‑memory model of the ontology and syncs it with the disk file on every CRUD operation. If Protege is running and monitoring the same file, it will also show the updates automatically.

3

Can I use OWL-MCP with tools other than Goose?

Yes, OWL-MCP follows the Model‑Context‑Protocol standard and works with any MCP‑compatible AI host after proper configuration.

4

Does OWL-MCP require a running internet service?

No, it runs locally as an MCP server process, connecting to your AI assistant over stdio or another MCP transport. No external network service is needed.

5

How are entity labels handled?

When returning OWL strings, the server appends human‑readable labels after `#` comments, following the OBO‑format convention. This makes results easier to interpret.

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