gen-ai-starter vs time
Side-by-side comparison to help you pick between these two MCP servers.
gen-ai-starter by jbsoftware-io | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3 | ★ 85,748 |
| 30d uses | — | — |
| Score | 36 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOther | ProductivityDeveloper ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | this month | this month |
gen-ai-starter · Summary
Generative AI starter with MCP integration for converting REST APIs to standardized tools.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
gen-ai-starter · Use cases
- Building custom agentic LLM applications with RAG capabilities
- Converting existing REST API services into MCP tools for AI agents
- Developing and testing LLM applications with Streamlit web interface
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
gen-ai-starter · Install
Installation
- Prerequisites:
- Docker Engine (>= 12 GB memory or >= 8 GB with Ollama executable) - Optional: Brave Search API key for web search example
- Quick start with CPU:
``bash docker compose --profile=cpu up -d ``
- Access the applications:
- Streamlit App: http://localhost:8501/ - Open WebUI: http://localhost:3000/
- For MCP server generation:
``bash npm install -g openapi-mcp-generator openapi-mcp-generator --input path/to/openapi.json --output my-mcp-server --transport streamable-http ``
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"]
}
}
}