mcporter

Manage and invoke MCP servers and tools from the command line.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/davpatel605-beep/hermusagent --skill mcporter-davpatel605-beep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcporter
Source: https://github.com/davpatel605-beep/hermusagent/tree/main/backend/vendor/hermes/optional-skills/mcp/mcporter
Command: npx skills add https://github.com/davpatel605-beep/hermusagent --skill mcporter-davpatel605-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies discovering, configuring, authenticating, and invoking Model Context Protocol servers and tools from the command line, reducing the complexity of managing external AI integrations.

Core Features & Use Cases

  • MCP Server Management: Discover configured servers, connect to ad-hoc HTTP or stdio servers, and manage MCP configurations.
  • Tool Invocation and Automation: Call MCP tools with structured arguments, JSON output, and reusable workflows for AI agent operations.
  • Use Case: Connect an AI agent to an MCP server and use mcporter to inspect available tools, authenticate access, and execute tool calls directly from the terminal.

Quick Start

Use the mcporter skill to connect to my MCP server, list its available tools, and call the tool needed for my task.

Frequently Asked Questions about mcporter

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

FAQPage Schema
How do I manage Model Context Protocol servers from the command line?

You can manage Model Context Protocol servers from the command line by discovering configured servers, connecting to ad-hoc HTTP or stdio servers, and handling MCP configurations directly through CLI-based operations.

How do I call MCP tools with structured arguments for AI agent automation?

You can call MCP tools for AI agent automation by invoking them with structured arguments from the CLI, receiving JSON output, and establishing reusable workflows for automated external API interactions.

Can I connect an AI agent to an external MCP server and inspect available tools?

Yes, you can connect an AI agent to an external MCP server to inspect available tools, authenticate access, and execute structured tool calls directly from the terminal for integration tasks.

What is the best way to discover and authenticate Model Context Protocol tools?

The best way to discover and authenticate Model Context Protocol tools is by using a CLI utility to list available external servers, manage configurations, and handle authentication workflows for AI agent integrations.

Does MCP server invocation support both HTTP and stdio connections?

Yes, MCP server invocation supports both HTTP and stdio connections, allowing you to connect to ad-hoc servers, manage configurations, and execute tool calls seamlessly across different transport protocols.

Are TypeScript or CLI generation capabilities required for MCP tool management?

Yes, TypeScript or CLI generation capabilities are required for MCP tool management, as the process relies on CLI-based configuration management, structured tool calls, and JSON output handling for automation.