mcp-development

fabriciofs/mcp-sql-server

Complete MCP development toolkit for creating, debugging, testing, and reviewing MCP servers. Use when setting up new MCP projects, creating tools, debugging connection issues, reviewing MCP code, or generating documentation.

0 stars

0 forks

4 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development ~/.claude/skills/mcp-sql-server

# Project-specific

git clone https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development .claude/skills/mcp-sql-server

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development

Option 2: Clone to extensions directory

git clone https://github.com/fabriciofs/mcp-sql-server/tree/main/.claude/skills/mcp-development ~/.gemini/extensions/mcp-sql-server

Related Skills

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration

docstring

Tensors and Dynamic neural networks in Python with strong GPU acceleration

at-dispatch-v2

Tensors and Dynamic neural networks in Python with strong GPU acceleration

add-uint-support

Tensors and Dynamic neural networks in Python with strong GPU acceleration