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owl-mcp vs time

Side-by-side comparison to help you pick between these two MCP servers.

owl-mcp
by ai4curation
time
by modelcontextprotocol
Stars★ 15★ 85,748
30d uses
Score3977
Official
Categories
Knowledge GraphDeveloper ToolsAI / LLM Tools
ProductivityDeveloper ToolsCommunication
LanguagePythonTypeScript
Last commit12 mo agothis month

owl-mcp · Summary

OWL-MCP enables AI assistants to interact with OWL ontologies via standardized MCP protocol.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

owl-mcp · Use cases

  • AI-assisted ontology development and management
  • Automated annotation and classification using existing ontologies
  • Collaborative knowledge graph building with AI integration

time · Use cases

  • Assisting with international meeting scheduling across time zones
  • Providing real-time time information for location-based queries
  • Enabling time conversion for travel planning and itineraries

owl-mcp · Install

Installation

  1. Install Goose (Desktop or CLI version) from [goose installation](https://block.github.io/goose/docs/getting-started/installation/)
  1. Set up an LLM provider (Anthropic recommended)
  1. Install OWL-MCP extension in Goose:

- Direct install: [Install OWL-MCP](goose://extension?cmd=uvx&arg=owl-mcp&id=owl_mcp&name=OWL%20MCP) - Manual: Add uvx owl-mcp to the Extension section of Goose

  1. Start using the extension to create and manage OWL ontologies

Claude Desktop Configuration

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

time · Install

Installation Options

**Using uv (recommended):**

uvx mcp-server-time

**Using PIP:**

pip install mcp-server-time
python -m mcp_server_time

**Configure for Claude Desktop:**

{
  "mcpServers": {
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.