fastmcp-cloud-deployment

vanman2024/mcp-servers-marketplace

FastMCP Cloud deployment validation, testing, and verification patterns. Use when deploying MCP servers, validating deployments, testing server configurations, checking environment variables, verifying deployment health, tracking deployments, or when user mentions FastMCP Cloud, deployment validation, pre-deployment checks, post-deployment verification, deployment troubleshooting, or deployment lifecycle management.

0 stars

0 forks

2 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment ~/.claude/skills/mcp-servers-marketplace

# Project-specific

git clone https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment .claude/skills/mcp-servers-marketplace

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment

Option 2: Clone to extensions directory

git clone https://github.com/vanman2024/mcp-servers-marketplace/tree/main/plugins/fastmcp/skills/fastmcp-cloud-deployment ~/.gemini/extensions/mcp-servers-marketplace

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