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Authoring

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activeing123
authoring

Add or edit an MCP server entry in mcptoon's config correctly — stdio/streamable-http/sse shapes, command rules, placeholders, and validation.

Overview

Publisheractiveing123
Repositorymcptoon
Skill nameauthoring
Stars
371
Forks
21
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by activeing123 on GitHub. Read the source before you install it.

Installation

Install the Authoring AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/activeing123/mcptoon/tree/main/plugin/mcptoon-skills/skills/authoring
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/activeing123/mcptoon.git /tmp/mcptoon
mkdir -p .claude/skills
cp -r /tmp/mcptoon/plugin/mcptoon-skills/skills/authoring .claude/skills/authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Authoring in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Authoring on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Authoring is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Author an MCP server entry for mcptoon

All servers live in ~/.mcptoon/config.json under mcpServers. Edit there, never in agent-side files, then run mcptoon sync.

Entry shapes

stdio (local process):

json
{
  "filesystem": {
    "type": "stdio",
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-filesystem", "/data"],
    "env": {"NODE_ENV": "production"}
  }
}

streamable-http / sse (remote):

json
{
  "remote-tools": {
    "type": "streamable-http",
    "url": "https://example.com/mcp"
  }
}

Hard rules for stdio commands

  • command is ONE executable token: a bare name (npx, uvx, mcptoon) or a ./-relative path inside a plugin. Never a shell string, never bash -c.
  • Absolute paths in command are forbidden; use PATH or ./ relative.
  • args is a list of strings. Shell metacharacters belong in args, not in command.

Plugin entries

Agent Plugins are installed under ~/.mcptoon/plugins/<plugin>/ and merged automatically with "<plugin>:<server>" names. Their paths can use placeholders, expanded at install time:

  • ${PLUGIN_ROOT} — the installed plugin directory
  • ${PLUGIN_DATA} — the plugin's persistent data directory (survives upgrades)

Plugin-managed entries should be edited by updating the plugin (reinstall with --force), not by hand-editing the merged config.

Validation loop (always run after writing)

bash
mcptoon doctor       # catches syntax, missing binaries, bad urls
mcptoon list         # confirm the server is visible
mcptoon health       # per-server connectivity, exit 1 if anything is dead

If you generated the entry from documentation, prefer mcptoon install --npm / --pip / --url over hand-writing JSON — it fills the correct shape for you.

Good tool hygiene (for server authors)

  • Prefer fewer, well-described tools over many overlapping ones; agents pick tools by description.
  • When a server ships a SKILL.md (Agent Plugins), keep the body actionable: concrete commands, exact flags, no marketing text.

Frequently asked questions

What does the Authoring AI skill do?

Add or edit an MCP server entry in mcptoon's config correctly — stdio/streamable-http/sse shapes, command rules, placeholders, and validation.

Why use Authoring on TypingMind?

Because you install it once and use it with any model. Authoring is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Authoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/activeing123/mcptoon/tree/main/plugin/mcptoon-skills/skills/authoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Authoring?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Authoring?

As many as you like. As long as a model supports skills, you can use Authoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Authoring AI skill free?

Yes. It is published on GitHub by activeing123 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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