time vs spring-ai-playground
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | spring-ai-playground by spring-ai-community | |
|---|---|---|
| Stars | ★ 85,748 | ★ 113 |
| 30d uses | — | — |
| Score | 77 | 47 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | Java |
| Last commit | this month | this month |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
spring-ai-playground · Summary
Cross-platform desktop app for building, testing, and publishing MCP tools with a 'no-pass-no-run' safety workflow.
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
spring-ai-playground · Use cases
- Developers building MCP tools with built-in validation before deployment
- Teams connecting MCP tools into Python, Node.js, or mixed-stack environments
- Users of Claude Desktop, Claude Code, Cursor and other MCP-compatible environments
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"]
}
}
}spring-ai-playground · Install
Installation
Desktop App (Recommended)
- Download the installer for your platform from the [GitHub Releases page](https://github.com/spring-ai-community/spring-ai-playground/releases)
- Install like a normal desktop application
- Launch Spring AI Playground from your applications menu
Docker
docker run -p 8282:8282 -v spring-ai-playground:/root ghcr.io/spring-ai-community/spring-ai-playgroundClaude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"spring-ai-playground": {
"command": "java",
"args": ["-jar", "path/to/spring-ai-playground.jar", "--spring.profiles.active=mcp-stdio"]
}
}
}