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Ck:Use Mcp

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manhvann
ck:use-mcp

Utilize MCP server tools with intelligent discovery and execution.

Overview

Publishermanhvann
Repositorycodexkit
Skill nameck:use-mcp
Stars
88
Forks
81
Bundled files
Instructions only
LicenseMIT
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 manhvann on GitHub. Read the source before you install it.

Installation

Install the Ck:Use Mcp 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/manhvann/codexkit/tree/main/.agents/skills/use-mcp
  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/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/use-mcp .claude/skills/manhvann-ck-use-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ck:Use Mcp 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 Ck:Use Mcp 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 Ck:Use Mcp 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.

MCP Tool Execution

Execute MCP operations via Gemini CLI to preserve context budget.

Execution Steps

  1. Execute task via Gemini CLI (using stdin pipe for MCP support):

    bash
    # IMPORTANT: Use stdin piping, NOT -p flag (deprecated, skips MCP init)
    # Read model from .codex/.ck.json: gemini.model (default: gemini-3-flash-preview)
    echo "$ARGUMENTS. Return JSON only per GEMINI.md instructions." | gemini -y -m <gemini.model>
  2. Fallback to mcp_manager subagent (if Gemini CLI unavailable):

    • Use mcp_manager subagent to discover and execute tools
    • If the subagent got issues with the scripts of ck:mcp-management skill, use ck:mcp-builder skill to fix them
    • DO NOT create ANY new scripts
    • The subagent can only use MCP tools if any to achieve this task
    • If the subagent can't find any suitable tools, just report it back to the main agent to move on to the next step

Important Notes

  • MUST use stdin piping - the deprecated -p flag skips MCP initialization
  • Use -y flag to auto-approve tool execution
  • GEMINI.md auto-loaded: Gemini CLI automatically loads GEMINI.md from project root, enforcing JSON-only response format
  • Parseable output: Responses are structured JSON: {"server":"name","tool":"name","success":true,"result":<data>,"error":null}

Anti-Pattern (DO NOT USE)

bash
# BROKEN - deprecated -p flag skips MCP server connections!
gemini -y -m <gemini.model> -p "..."

# ALSO BROKEN - --model flag with -p
gemini -y -p "..." --model gemini-3-flash-preview

Frequently asked questions

What does the Ck:Use Mcp AI skill do?

Utilize MCP server tools with intelligent discovery and execution.

Why use Ck:Use Mcp on TypingMind?

Because you install it once and use it with any model. Ck:Use Mcp 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 Ck:Use Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/use-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ck:Use Mcp?

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 Ck:Use Mcp?

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

Is the Ck:Use Mcp AI skill free?

Yes. It is published on GitHub by manhvann under the MIT 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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