time vs gtm-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | gtm-mcp-server by paolobietolini | |
|---|---|---|
| Stars | ★ 85,748 | ★ 86 |
| 30d uses | — | — |
| Score | 77 | 49 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | Developer ToolsE-commerceAI / LLM Tools |
| Language | TypeScript | Go |
| Last commit | this month | this month |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
gtm-mcp-server · Summary
Google Tag Manager MCP server that enables natural language control of GTM containers through AI assistants.
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
gtm-mcp-server · Use cases
- Build complete GA4 ecommerce tracking setups through natural language
- Manage multiple client containers at scale for agencies
- Generate documentation and audit reports for existing GTM setups
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"]
}
}
}gtm-mcp-server · Install
Installation
**Claude Desktop:**
{
"mcpServers": {
"gtm": {
"url": "https://mcp.gtmeditor.com/authorize"
}
}
}**Claude Code CLI:**
claude mcp add -t http gtm https://mcp.gtmeditor.com**ChatGPT:**
- Go to OpenAI Apps Platform
- Add MCP integration with URL:
https://mcp.gtmeditor.com
**Gemini CLI:**
gemini mcp add --transport http --url https://mcp.gtmeditor.com gtm**Self-hosted Docker:**
git clone https://github.com/paolobietolini/gtm-mcp-server.git
cd gtm-mcp-server
cat > .env << 'EOF'
GOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret
JWT_SECRET=$(openssl rand -base64 32)
BASE_URL=http://localhost:8080
EOF
docker compose up -