macrostrat-mcp vs time

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

	macrostrat-mcp by blake365	time by modelcontextprotocol
Stars	★ 7	★ 85,748
30d uses	—	—
Score	38	77
Official	—	✓
Categories	Knowledge GraphDeveloper ToolsOther	ProductivityDeveloper ToolsCommunication
Language	JavaScript	TypeScript
Last commit	9 mo ago	this month

macrostrat-mcp · Summary

MCP server for accessing comprehensive geologic data through Macrostrat API.

time · Summary

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

macrostrat-mcp · Use cases

Geological research and analysis for specific locations
Educational exploration of Earth's geological history
Professional geological data visualization and interpretation

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

macrostrat-mcp · Install

Installation

Via Smithery

npx -y @smithery/cli install @blake365/macrostrat-mcp --client claude

Manual Installation

Clone the repository
Run npm install to install dependencies
Run npm run build to build the server

Claude Desktop Configuration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
    "mcpServers": {
        "macrostrat": {
            "command": "node",
            "args": [
                "/Full/Route/to/Folder/macrostrat/build/index.js"
            ]
        }
    }
}

Restart Claude Desktop

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.