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/mcporter

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

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xiaohongshu-mcp-python
14660 skills
Install
$ npx -y skills add luyike221/xiaohongshu-mcp-python --skill mcporter --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/mcporter

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

SKILL.md

mcporter.SKILL.md
name: mcporter
description: Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
homepage: http://mcporter.dev
metadata:
  {
    "openclaw":
      {
        "emoji": "📦",
        "requires": { "bins": ["mcporter"] },
        "install":
          [
            {
              "id": "node",
              "kind": "node",
              "package": "mcporter",
              "bins": ["mcporter"],
              "label": "Install mcporter (node)",
            },
          ],
      },
  }

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.
Read more
Ships withxiaohongshu-mcp-python

xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具,通过 Model Context Protocol(MCP)协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式(JPG、PNG、GIF)和视频格式(MP4、MOV、AVI),既可处理本地文件路径,也支持 HTTP/HTTPS 链接,为用户提供灵活的内容发布方案。 该工具特别适合内容创作者、营销人员和开发者使用,能够显著提升小红书内容发布的效率和自动化程度。通过标准化的 MCP 接口,用户可以轻松地将小红书操作能力集成到各种 AI 工作流中,实现智能化的内容管理

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