Cowork Mcp Config Assistant logo

Cowork Mcp Config Assistant

Organization
frumu-ai
cowork-mcp-config-assistant

Configure Model Context Protocol (MCP) servers and customize Tandem skills for your organization.

Overview

Publisherfrumu-ai
Repositorytandem
Skill namecowork-mcp-config-assistant
Stars
121
Forks
13
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 frumu-ai on GitHub. Read the source before you install it.

Installation

Install the Cowork Mcp Config Assistant 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.
  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/frumu-ai/tandem.git /tmp/tandem
mkdir -p .claude/skills
cp -r /tmp/tandem/apps/tandem-desktop/src-tauri/resources/skill-templates/cowork-mcp-config-assistant .claude/skills/cowork-mcp-config-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cowork Mcp Config Assistant 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 Cowork Mcp Config Assistant 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 Cowork Mcp Config Assistant 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 Configuration & Skill Customization

Adapt Tandem skills to your specific organization by replacing customization points with actual tool names, configuring MCP servers, and applying organization-specific customizations.

Overview

Some skills use placeholders (e.g., ~~Jira, ~~your-team-channel) that need to be replaced with your actual tools and values. This assistant helps you identify these points and configure the necessary MCP servers to connect Tandem to your data.

Workflow

1. Identify Customization Needs

  • Gather Context: What tools does your organization use? (Jira, Asana, GitHub, GitLab, etc.)
  • Scan Skills: Look for placeholders in skill templates that need replacement.

2. Configure MCP Servers

To connect Tandem to your tools, you need to configure MCP servers.

Common MCP Servers:

  • Filesystem: Access local directories.
  • PostgreSQL / SQLite: Query databases directly.
  • GitHub / GitLab: Access repositories and issues.
  • Slack / Discord: Access communication channels.
  • Google Drive / Notion: Access documentation and notes.

3. Apply Customizations

  • Replace Placeholders: Update SKILL.md files to use your specific tool names.
  • Update URL Patterns: Change example URLs to match your organization's instances (e.g., jira.company.com).
  • Set Context: Add organization-specific values like Workspace IDs or Project names.

How to Configure MCP

  1. Find the Server: Check the MCP Registry for available servers.
  2. Install: Follow the installation instructions for the server (usually npm install or pip install).
  3. Configure: Add the server to your Tandem configuration file (usually in settings or a config JSON).

Example Config Entry:

json
"github": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-github"],
  "env": {
    "GITHUB_PERSONAL_ACCESS_TOKEN": "your-token-here"
  }
}

Tips

  • Start Simple: Connect one key tool (like your issue tracker or knowledge base) first.
  • Verify: Test the connection by asking Tandem to list items from the tool.
  • Iterate: Add more tools and customizations as you discover needs.

Frequently asked questions

What does the Cowork Mcp Config Assistant AI skill do?

Configure Model Context Protocol (MCP) servers and customize Tandem skills for your organization.

Why use Cowork Mcp Config Assistant on TypingMind?

Because you install it once and use it with any model. Cowork Mcp Config Assistant 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 Cowork Mcp Config Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/frumu-ai/tandem/tree/main/apps/tandem-desktop/src-tauri/resources/skill-templates/cowork-mcp-config-assistant. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cowork Mcp Config Assistant?

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 Cowork Mcp Config Assistant?

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

Is the Cowork Mcp Config Assistant AI skill free?

It is published on GitHub by frumu-ai. Check the repository for licensing terms. 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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