Why does the skill enforce CLI arguments instead of hardcoded values?

CLI arguments allow scripts to be dynamic and reusable, enabling Claude to pass different parameters during runtime without needing to modify the underlying source code.

How do I test a script created under these rules?

You can use the provided harness command: uv run python -m runtime.harness scripts/ .py --help to verify the script is functioning correctly.

How should I name my MCP tools within these scripts?

Tools must follow the double underscore convention: serverName__toolName. For example: perplexity__perplexity_ask.

What is the main benefit of using the mcp-scripts skill?

It ensures all scripts follow a consistent structure, making it easier for Claude to execute them reliably without manual code edits or parameter hardcoding.

Maestro MCP Scripting

Name: Maestro MCP Scripting
Author: scooter-lacroix

byscooter-lacroix

Productivity & Workflow

Standardizes the creation and execution of MCP-powered scripts to ensure reliable tool integration and automated workflows.

About

The mcp-scripts skill establishes a robust framework for building and interacting with MCP (Model Context Protocol) scripts within the Maestro ecosystem. It enforces critical best practices such as using CLI arguments for parameterization, implementing consistent error handling, and utilizing the specific call_mcp_tool pattern. By providing Claude with strict guidelines on tool naming and runtime execution, it prevents hardcoding errors and ensures scripts remain portable, testable, and capable of returning clean, structured output for further AI processing.

Key Features

Standardizes MCP tool calling patterns via the runtime client
Implements strict tool naming conventions (serverName__toolName)
Mandates USAGE documentation and graceful error handling in every script
Enforces CLI-first script design using argparse for dynamic inputs
0 GitHub stars
Provides integrated testing protocols for script validation

Use Cases

Standardizing internal development scripts to prevent hardcoded configuration
Automating multi-step workflows that bridge different MCP servers and tools
Creating reusable CLI utilities that Claude can invoke with varying parameters

About

Key Features

Standardizes MCP tool calling patterns via the runtime client
Implements strict tool naming conventions (serverName__toolName)
Mandates USAGE documentation and graceful error handling in every script
Enforces CLI-first script design using argparse for dynamic inputs
0 GitHub stars
Provides integrated testing protocols for script validation

Use Cases

Standardizing internal development scripts to prevent hardcoded configuration
Automating multi-step workflows that bridge different MCP servers and tools
Creating reusable CLI utilities that Claude can invoke with varying parameters