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time vs jiki

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

time
by modelcontextprotocol
jiki
by teilomillet
Stars★ 85,748★ 17
30d uses
Score7737
Official
Categories
ProductivityDeveloper ToolsCommunication
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptPython
Last committhis month13 mo ago

time · Summary

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

jiki · Summary

Jiki is a Python framework that connects LLMs to external tools via MCP, offering both orchestration and client capabilities.

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

jiki · Use cases

  • Building tool-augmented LLM applications with calculator or other custom tools
  • Creating interactive chat interfaces that can call external APIs via MCP
  • Integrating LLM capabilities with existing systems through standardized protocol

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"]
    }
  }
}

jiki · Install

Installation

Install the jiki package using your preferred package manager:

# Using pip
pip install jiki

# Or using uv (recommended for faster installation)
uv add jiki

Set Up API Key

Jiki uses [LiteLLM](https://litellm.ai/) internally, allowing it to work with a wide range of LLM providers (OpenAI, Anthropic, Gemini, etc.). You need to set the appropriate environment variable for your chosen provider.

# Example for Anthropic Claude (often used as default)
export ANTHROPIC_API_KEY=your_key_here

# Example for OpenAI
# export OPENAI_API_KEY=your_key_here
Comparison generated from public README + GitHub signals. Last updated automatically.