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GitHub Copilot Taskmaster Extension

@lookatitude

GitHub Copilot Taskmaster Extension について

A GitHub Copilot chat extension that integrates with the Taskmaster-AI MCP server.

基本情報

カテゴリ

開発者ツール

ランタイム

node

トランスポート

stdio

公開者

lookatitude

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is GitHub Copilot Taskmaster Extension?

The GitHub Copilot Taskmaster Extension integrates with the Taskmaster‑AI MCP server to enhance the chat experience by providing seamless communication and task management capabilities. It is designed for users who want real‑time chat and participant management directly within their code editor.

How to use GitHub Copilot Taskmaster Extension?

After installing dependencies with npm install, open the extension in your preferred code editor. Run it using the command palette or the provided npm scripts, then follow the prompts to connect to the Taskmaster‑AI MCP server and start chatting.

Key features of GitHub Copilot Taskmaster Extension

  • Real‑time communication with the Taskmaster‑AI MCP server.
  • Manage participants in the chat.
  • Send and receive messages efficiently.

Use cases of GitHub Copilot Taskmaster Extension

  • Collaborating on tasks while coding in a team environment.
  • Managing chat participants during a remote pairing session.
  • Sending and receiving task‑related messages without leaving the editor.

FAQ from GitHub Copilot Taskmaster Extension

What does the extension do?

It integrates with the Taskmaster‑AI MCP server to enhance chat with real‑time communication, participant management, and messaging.

How do I install the extension?

Clone the repository, run npm install in the project directory, then open the extension in your code editor.

How do I use the extension after installation?

Run the extension via the command palette or npm scripts, then follow the prompts to connect to the Taskmaster‑AI MCP server and start chatting.

What are the main features?

Real‑time communication, participant management, and efficient sending/receiving of messages.

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