mcporter

Connect AI assistants to MCP servers via command-line workflows.

Updated Feb 21, 2026

Search Tags:#authentication #cli #mcp #api integration #model context protocol #tools

Ready to run

npx skills add https://github.com/Gitnapp/Skills --skill mcporter-gitnapp

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mcporter
Source: https://github.com/Gitnapp/Skills/tree/main/mcp/mcporter
Command: npx skills add https://github.com/Gitnapp/Skills --skill mcporter-gitnapp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps AI assistants discover, configure, authenticate, and call Model Context Protocol servers without manually managing complex integrations.

Core Features & Use Cases

MCP Server Management: Discover configured servers, connect to ad-hoc HTTP or stdio servers, and manage authentication and configuration.
Tool Execution and Generation: Call MCP tools with structured arguments, inspect schemas, and generate CLI wrappers or TypeScript clients.
Use Case: Developers can use this Skill to quickly connect an AI workflow to external MCP services such as productivity tools, APIs, or custom local servers.

Quick Start

Ask the mcporter skill to list available MCP servers and call a specific tool with the required arguments.

Frequently Asked Questions about mcporter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I connect an AI assistant to an MCP server?▼

You connect AI assistants to MCP servers using command-line discovery and configuration workflows to establish HTTP or stdio server connections, authenticate, and manage external tool access without manual integration complexity.

What do I need to manage Model Context Protocol tools from a CLI?▼

Managing Model Context Protocol tools requires the mcporter CLI environment with Node.js and npx support to handle server discovery, authentication setup, and structured tool execution.

Can I generate TypeScript clients for MCP tools?▼

Yes, you can generate CLI wrappers or TypeScript clients for MCP tools by inspecting tool schemas and applying command-line generation workflows to create structured interfaces for external server interactions.

How do I call an MCP tool with structured arguments?▼

You call an MCP tool with structured arguments by using command-line execution workflows to pass required parameters, inspect schemas, and directly invoke external server functions from your AI assistant environment.

Does this approach work with both HTTP and stdio MCP server connections?▼

Yes, this approach works with both HTTP and stdio server connections, allowing you to discover configured servers, connect to ad-hoc local servers, and manage authentication across different Model Context Protocol transport types.