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everything vs SQL_MCP_Server

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

everything
by modelcontextprotocol
SQL_MCP_Server
by pawankumar94
Stars★ 85,748★ 13
30d uses
Score7736
Official
Categories
Developer ToolsAI / LLM ToolsOther
DatabaseDeveloper ToolsAI / LLM Tools
LanguageTypeScriptPython
Last committhis month11 mo ago

everything · Summary

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

SQL_MCP_Server · Summary

SQLGenius is an MCP server that converts natural language to SQL queries using Gemini Pro with BigQuery integration.

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

SQL_MCP_Server · Use cases

  • Business analysts exploring data without writing SQL
  • Data teams creating dashboards for non-technical stakeholders
  • Developers prototyping queries before implementation

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

SQL_MCP_Server · Install

Installation

  1. Clone the repository:
git clone https://github.com/pawankumar94/sql_mcp_server.git
cd sql_mcp_server
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up environment variables:
cp .env.example .env
# Edit .env with your BigQuery credentials
  1. Launch with Streamlit:
streamlit run streamlit_app.py

For Claude Desktop integration, add this to your config.json:

{
  "mcpServers": {
    "sqlgenius": {
      "command": "python",
      "args": ["path/to/sql_mcp_server/sql_mcp_server.py"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.