sample-agentic-ai-demos vs time
Side-by-side comparison to help you pick between these two MCP servers.
sample-agentic-ai-demos by aws-samples | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 101 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsOps & InfraDeveloper Tools | ProductivityDeveloper ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | 3 mo ago | this month |
sample-agentic-ai-demos · Summary
AWS collection of MCP examples demonstrating client-server interactions with AWS services.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
sample-agentic-ai-demos · Use cases
- Building MCP servers on AWS infrastructure (ECS) for production deployments
- Creating MCP clients that interact with AWS Bedrock for agentic AI applications
- Implementing RAG systems using MCP to manage external data sources
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
sample-agentic-ai-demos · Install
These examples have varying installation requirements based on the specific module. Generally, they require:
- AWS account with necessary permissions
- Docker (for containerized examples)
- Python 3.7+ or Java/Kotlin for respective modules
For Claude Desktop integration, you would add to config.json:
{
"mcpServers": {
"aws-mcp-demo": {
"command": "python",
"args": ["path/to/mcp/server.py"]
}
}
}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"]
}
}
}