everything vs jiki

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

	everything by modelcontextprotocol	jiki by teilomillet
Stars	★ 85,748	★ 17
30d uses	—	—
Score	77	37
Official	✓	—
Categories	Developer ToolsAI / LLM ToolsOther	AI / LLM ToolsDeveloper ToolsProductivity
Language	TypeScript	Python
Last commit	this month	13 mo ago

everything · Summary

Official MCP test server exercising all protocol features for client builders.

jiki · Summary

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

everything · Use cases

Testing MCP client implementations against all protocol features
Learning MCP protocol capabilities through a reference server
Validating client compatibility with different transport methods

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

everything · Install

NPX (recommended)

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

On Windows, use cmd /c:

{
  "mcpServers": {
    "everything": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

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.