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cli-use vs everything

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

cli-use
by JustVugg
everything
by modelcontextprotocol
Stars★ 16★ 85,748
30d uses
Score4277
Official
Categories
Developer ToolsProductivityFile System
Developer ToolsAI / LLM ToolsOther
LanguagePythonTypeScript
Last commit1 mo agothis month

cli-use · Summary

A tool that converts any MCP server into a CLI, reducing token costs by 60-80% with zero runtime dependencies.

everything · Summary

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

cli-use · Use cases

  • Reduce token costs in AI agent workflows by replacing MCP tool calls with efficient CLI equivalents
  • Create reusable CLI interfaces from MCP servers for shell scripts and automation pipelines
  • Build agent-friendly toolsets with automatic SKILL.md documentation generation

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

cli-use · Install

git clone https://github.com/cli-use/cli-use.git
cd cli-use
pip install -e .

For Claude Desktop integration:

{
  "mcpServers": {
    "cli-use": {
      "command": "python",
      "args": ["-m", "cli_use.server"]
    }
  }
}

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