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studio vs time

Side-by-side comparison to help you pick between these two MCP servers.

studio
by decocms
time
by modelcontextprotocol
Stars★ 371★ 85,748
30d uses
Score5077
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
ProductivityDeveloper ToolsCommunication
LanguageTypeScriptTypeScript
Last committhis monththis month

studio · Summary

An open-source control plane for AI agents, integrating MCP tools with tracking and organization.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

studio · Use cases

  • Team-based AI agent management with shared tools and cost tracking
  • Building custom AI applications by composing specialized agents with MCP tools
  • Monitoring and governing AI agent performance and API usage across 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

studio · Install

Installation

Quick Start

bunx decocms

From Source

git clone https://github.com/decocms/studio.git
bun install
bun run dev

The server runs at http://localhost:3000 with both client and API server.

Docker

# With embedded PostgreSQL
docker compose -f deploy/docker-compose.yml up

# With external PostgreSQL
docker compose -f deploy/docker-compose.postgres.yml up

Claude Desktop Integration

Add this to your Claude Desktop config.json:

{
  "mcpServers": {
    "deco": {
      "command": "bun",
      "args": ["x", "decocms"]
    }
  }
}

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"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.