mcporter

scriptableai
$ npm i -g mcporter
Summary

Runtime and CLI for connecting to configured Model Context Protocol servers.

  • mcporter fits local ai well, especially for mcp workflows, tool server connections, and agent integrations from the terminal.
  • 138,403 npm weekly downloads.
  • Easy to automate.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Output is mostly text-first, so verify results before scripting around it.
ai-mcporter-SKILL.md

Mcporter guide

Runtime and CLI for connecting to configured Model Context Protocol servers. Built by Peter Steinberger.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • mcp workflows, tool server connections, and agent integrations from the terminal.
  • You need AI models and inference in both local dev and CI.
  • You need mcp workflows.
  • You need tool server connections.
  • You need agent integrations.

Quick reference

Installnpm i -g mcporter
Verifymcporter --version
First real commandmcporter --help

Open CLI × skills.sh

Open CLI integrates mcporter with the right skills.sh companions so you get the tool and the workflow together.

MCP Builder

Verified pairing

Open CLI integrates mcporter with this skills.sh skill because it is the clearest fit for how mcporter is usually used. Turn useful CLI capabilities into reusable agent-accessible tool layers.

View on skills.sh
$ npx skills add https://github.com/anthropics/skills --skill mcp-builder
Starter prompt

Use mcporter together with the MCP Builder skills.sh skill. Start with a small prompt or read-only action, show the result, and propose the next loop before escalating scope.

Why this tool

  • mcporter fits local ai well, especially for mcp workflows, tool server connections, and agent integrations from the terminal.
  • 138,403 npm weekly downloads.
  • Easy to automate.

Watch-outs

  • Needs network access.
  • Output is mostly plain text.

Example workflow

1. mcporter --help

Safe start

Step 1

Install mcporter.

Step 2

Run `mcporter --version` first.

Step 3

Start with `mcporter --help`.

Step 4

Install the CLI and any required runtime, model, or Python environment.

Alternatives worth considering