Connect

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activeing123

connect

Connect any AI agent to MCP servers through mcptoon — one config synced everywhere, one stdio gateway, 99.2% fewer tokens on tool discovery.

Overview

Publisher	activeing123
Repository	`mcptoon`
Skill name	`connect`
Stars	371
Forks	21
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/activeing123/mcptoon/tree/main/plugin/mcptoon-skills/skills/connect
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.

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/connect .claude/skills/connect

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Connect 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 Connect 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 Connect 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.

Connect agents to MCP servers with mcptoon

mcptoon keeps one config (~/.mcptoon/config.json) as the single source of truth for every MCP server an agent may use. It syncs that config into Claude Desktop, Claude Code, Cursor, Codex, Cline, Windsurf and VS Code, and can expose all servers through one stdio gateway (mcptoon serve).

First move: look before you change anything

bash
mcptoon list            # what servers are configured right now
mcptoon doctor          # config syntax + connectivity diagnosis

If doctor reports problems, fix those before adding anything new.

Add servers

bash
mcptoon discover                  # scan + probe locally installed MCP servers
mcptoon discover --write          # and write what was found into config
mcptoon add <name> --help         # see add options for stdio/http servers
mcptoon install <name> --npm @scope/pkg   # from npm
mcptoon install <name> --pip pkg          # from pip
mcptoon install <name> --url https://host/mcp   # streamable-http / sse

After editing ~/.mcptoon/config.json by hand, validate with mcptoon doctor.

Sync one config to every agent

bash
mcptoon sync              # write config into all detected agents
mcptoon sync --dry        # preview only
mcptoon sync --agent claude   # one agent only

Expose everything through one gateway (recommended for agents)

Instead of registering N servers in an agent, register ONE:

json
{ "mcpServers": { "mcptoon": { "command": "mcptoon", "args": ["serve"] } } }

mcptoon serve speaks MCP over stdio and forwards to every configured server. Benefits: one entry in the agent config, tool lists stay compact, and Plugin skills appear as MCP prompts automatically.

Token efficiency flags

Tool manifests can be huge. When calling mcptoon from a terminal, keep output small on purpose:

bash
mcptoon manifest --toon        # standard TOON format (~34% saved)
mcptoon manifest --slim        # ultra-compact schemas (93% saved)
mcptoon manifest --compact     # names only (99.2% saved)
mcptoon search <query>         # find a tool without dumping the whole manifest
mcptoon inspect <server> <tool>   # full schema for exactly one tool

Toggles

Single tools can be disabled without removing the server (agents then never see them): toggle in ~/.mcptoon/config.json on the server entry, then mcptoon sync.

Rules of thumb

Never edit agent-side config files directly; edit mcptoon's config and sync.
mcptoon watch (if running) syncs on every save.
Verify with mcptoon health — exit code 1 means something is down (CI-friendly).

Frequently asked questions

What does the Connect AI skill do?

Connect any AI agent to MCP servers through mcptoon — one config synced everywhere, one stdio gateway, 99.2% fewer tokens on tool discovery.

Why use Connect on TypingMind?

Because you install it once and use it with any model. Connect 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 Connect in TypingMind?

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

Which AI models can use Connect?

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 Connect?

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

Is the Connect 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Connect agents to MCP servers with mcptoon

First move: look before you change anything

Add servers

Sync one config to every agent

Expose everything through one gateway (recommended for agents)

Token efficiency flags

Toggles

Rules of thumb

Frequently asked questions

Related AI Skills

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