task-orchestrator vs time
Side-by-side comparison to help you pick between these two MCP servers.
task-orchestrator by jpicklyk | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 183 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | ProductivityDeveloper ToolsCommunication |
| Language | Kotlin | TypeScript |
| Last commit | this month | this month |
task-orchestrator · Summary
MCP server providing server-enforced workflow discipline for AI agents with persistent work items, dependency graphs, and actor attribution.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
task-orchestrator · Use cases
- Managing complex multi-agent AI development workflows
- Enforcing documentation requirements before implementation
- Tracking which AI agent made which changes across sessions
- Validating dependency ordering in complex projects
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
task-orchestrator · Install
Installation with Docker
# Pull the latest image
docker pull ghcr.io/jpicklyk/task-orchestrator:latest
# Register with Claude Code
claude mcp add-json mcp-task-orchestrator '{
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}'
# For MCP clients: add to .mcp.json
{
"mcpServers": {
"mcp-task-orchestrator": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}
}
}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"]
}
}
}