time vs orionbelt-analytics

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

	time by modelcontextprotocol	orionbelt-analytics by ralfbecher
Stars	★ 85,748	★ 29
30d uses	—	—
Score	77	45
Official	✓	—
Categories	ProductivityDeveloper ToolsCommunication	DatabaseDeveloper ToolsKnowledge Graph
Language	TypeScript	Python
Last commit	this month	1 mo ago

time · Summary

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

orionbelt-analytics · Summary

Ontology-based MCP server analyzing database schemas and generating RDF/OWL ontologies with SQL mappings for Text-to-SQL.

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

orionbelt-analytics · Use cases

Enterprise data analysis with natural language queries across multiple database systems
Schema analysis and ontology generation for knowledge graph applications
Automated SQL validation with fan-trap prevention to ensure query correctness

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"]
    }
  }
}

orionbelt-analytics · Install

Installation

git clone https://github.com/ralfbecher/orionbelt-analytics
cd orionbelt-analytics
uv sync

Configure environment variables:

cp .env.template .env

Run the server:

uv run server.py

For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "OrionBelt-Analytics": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:9000/mcp",
        "--transport",
        "http-only"
      ]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.