Can I use PAL MCPorter in CI/CD pipelines?

Yes, its CLI-first design is specifically built for shell environments and automated scripts, making it ideal for integration into CI/CD workflows.

What is PAL MCPorter?

PAL MCPorter is a Claude Code skill that wraps the PAL (Personal AI Layer) MCP server in a CLI, allowing you to run AI-powered developer tools directly from your terminal.

How does it differ from standard MCP configuration?

Unlike standard MCP which requires constant wiring in config files, PAL MCPorter uses an ad-hoc stdio server per invocation, reducing context overhead and making it more script-friendly.

Which AI models does this skill support?

It supports various providers including OpenAI, Gemini, and OpenRouter. You can control the model via environment variables like PAL_DEFAULT_MODEL.

Does it require an API key?

Yes, to perform live model calls for tasks like code reviews or audits, you must provide a valid API key for your chosen provider (e.g., OPENAI_API_KEY).

PAL MCPorter

Name: PAL MCPorter
Author: prateek

byprateek

보안 및 테스팅

Executes PAL MCP tools through a scriptable CLI interface to streamline code reviews, security audits, and developer workflows.

소개

PAL MCPorter provides a shell-friendly bridge to the Personal AI Layer (PAL) MCP server, allowing developers to run sophisticated tasks like automated code reviews, security audits, and API lookups via the mcporter CLI. By using a standalone stdio mode, it bypasses the context overhead of traditional MCP configurations and enables seamless integration into local scripts, CI pipelines, or environments where standard Claude Code MCP wiring is unavailable. This skill is ideal for users who need the power of PAL's domain-specific logic without the overhead of permanent configuration.

주요 기능

Ad-hoc stdio mode to reduce MCP tool-schema context overhead and token usage
Configurable output formats including JSON and Markdown for script integration
0 GitHub stars
Built-in self-test system for validating CLI functionality and model connectivity
Support for multiple LLM providers including OpenAI, Gemini, and OpenRouter
Run PAL tools like codereview, secaudit, and precommit directly from the shell

사용 사례

Automating security audits and code reviews within local git pre-commit hooks
Integrating PAL domain-specific logic into shell scripts without global MCP config
Querying technical API documentation and model capabilities via terminal commands

소개

주요 기능

Ad-hoc stdio mode to reduce MCP tool-schema context overhead and token usage
Configurable output formats including JSON and Markdown for script integration
0 GitHub stars
Built-in self-test system for validating CLI functionality and model connectivity
Support for multiple LLM providers including OpenAI, Gemini, and OpenRouter
Run PAL tools like codereview, secaudit, and precommit directly from the shell

사용 사례

Automating security audits and code reviews within local git pre-commit hooks
Integrating PAL domain-specific logic into shell scripts without global MCP config
Querying technical API documentation and model capabilities via terminal commands