mcporter

mcporter is a skill for Claude Code, Codex from SeanHogg/Builderforce.ai. It costs 41 tokens per session (457 once invoked), scanned A, a copy of mcporter, MIT.

A command-line tool for connecting to and using MCP servers. MCP servers provide tools that an agent can call, either over the network or through a local process.

In plain words
What is it for?
Listing server tools, making tool calls, managing server configuration and OAuth, running a server daemon, and generating command-line or TypeScript interfaces.
Why use it?
It gives developers one terminal interface for discovering available tools, configuring access, handling authentication, and calling servers directly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Listing server tools, making tool calls, managing server configuration and OAuth, running…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seanhogg/builderforce.ai/mcporter
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SeanHogg/Builderforce.ai --skill mcporter
Clone the repo
git clone --depth 1 https://github.com/SeanHogg/Builderforce.ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mcporter

README.md
[![agentmods](https://agentmods.dev/badge/skills/seanhogg/builderforce.ai/mcporter.svg)](https://agentmods.dev/skills/seanhogg/builderforce.ai/mcporter)
Your own site
<a href="https://agentmods.dev/skills/seanhogg/builderforce.ai/mcporter"><img src="https://agentmods.dev/badge/skills/seanhogg/builderforce.ai/mcporter.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 457 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00457
Opus 5 $0.00020 $0.00229
Sonnet 5 $0.00008 $0.00091
Haiku 4.5 $0.00004 $0.00046

Measured 6d ago against content hash 8d4d9c66ffea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mcporter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

94% identical to mcporter — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agent-runtime/skills/mcporter/SKILL.md · 64 lines

What it actually says

mcporter

Use mcporter to work with MCP servers directly.

Quick start

  • mcporter list
  • mcporter list <server> --schema
  • mcporter call <server.tool> key=value

Call tools

  • Selector: mcporter call linear.list_issues team=ENG limit:5
  • Function syntax: mcporter call "linear.create_issue(title: \"Bug\")"
  • Full URL: mcporter call https://api.example.com/mcp.fetch url:https://example.com
  • Stdio: mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com
  • JSON payload: mcporter call <server.tool> --args '{"limit":5}'

Auth + config

  • OAuth: mcporter auth <server | url> [--reset]
  • Config: mcporter config list|get|add|remove|import|login|logout

Daemon

  • mcporter daemon start|status|stop|restart

Codegen

  • CLI: mcporter generate-cli --server <name> or --command <url>
  • Inspect: mcporter inspect-cli <path> [--json]
  • TS: mcporter emit-ts <server> --mode client|types

Notes

  • Config default: ./config/mcporter.json (override with --config).
  • Prefer --output json for machine-readable results.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 64 lines · 41 tokens per session scan A 8d4d9c66ffea

Subscribe to this mod's changes

mcporter is a skill published in the GitHub repository SeanHogg/Builderforce.ai (5 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 457 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to mcporter, differing in 4 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens