广告合作
MCP.so
登录

OWL MCP Server

@scimcp

代码仓库主页

基本信息

分类

其他

传输方式

stdio

作者

scimcp

关于 OWL MCP Server

MCP server for OWL applications

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

OWL MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

OWL MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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.

常见问题

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.

评论

其他 分类下的更多 MCP 服务器

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Glasswarp

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K
广告合作