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everything vs lightdash_mcp

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

everything
by modelcontextprotocol
lightdash_mcp
by poddubnyoleg
Stars★ 85,748★ 19
30d uses
Score7743
Official
Categories
Developer ToolsAI / LLM ToolsOther
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptPython
Last committhis month2 mo ago

everything · Summary

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

lightdash_mcp · Summary

MCP server connecting AI assistants to Lightdash analytics platform for data discovery and visualization management.

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

lightdash_mcp · Use cases

  • AI assistants analyzing business data by exploring tables and creating visualizations
  • Automating dashboard creation and management through natural language instructions
  • Generating ad-hoc data queries based on conversational analysis needs

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

lightdash_mcp · Install

Installation

pip install lightdash-mcp

Claude Desktop Configuration

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "lightdash": {
      "command": "uvx",
      "args": ["lightdash-mcp"],
      "env": {
        "LIGHTDASH_TOKEN": "ldt_your_token_here",
        "LIGHTDASH_URL": "https://app.lightdash.cloud",
        "LIGHTDASH_PROJECT_UUID": "your-project-uuid"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.