time vs orionbelt-semantic-layer
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | orionbelt-semantic-layer by ralfbecher | |
|---|---|---|
| Stars | ★ 85,748 | ★ 46 |
| 30d uses | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | Developer ToolsKnowledge GraphAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | this month |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
orionbelt-semantic-layer · Summary
OrionBelt Semantic Layer converts YAML semantic models to optimized SQL for multiple databases via MCP API.
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-semantic-layer · Use cases
- Business intelligence and analytics teams creating semantic models for multiple database platforms
- AI agents and assistants needing to translate business questions to optimized SQL queries
- Organizations implementing analytics as code with version-controlled semantic definitions
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-semantic-layer · Install
Install the OrionBelt MCP server via the separate MCP client:
pip install orionbelt-semantic-layer-mcpAdd to Claude Desktop claude_desktop_config.json:
{
"mcpServers": {
"orionbelt": {
"command": "uvx",
"args": ["orionbelt-semantic-layer-mcp"]
}
}
}The main semantic layer API can be installed directly:
pip install orionbelt-semantic-layerOr via Docker:
docker run -p 8080:8080 ralforion/orionbelt-api