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Teamwork.com AI MCP Server

@rafaeljusto

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

rafaeljusto

Teamwork.com AI MCP Server について

Teamwork.com extra AI capabilities

#ai#mcp#artificial-intelligence#teamwork#mcp-server

Teamwork.com AI MCP Server の設定

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

Teamwork.com AI MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Teamwork.com AI?

Teamwork.com AI is an unofficial extension for Teamwork.com that integrates AI capabilities. It includes an Assigner webservice that processes Teamwork.com webhooks to automatically extract skills and job roles from tasks and assign the best user to fulfill them. The MCP server component has been moved to the official Teamwork.com repository.

How to use Teamwork.com AI?

For the Assigner, set it up as a webservice that integrates with Teamwork.com webhooks to handle task creation and updates. For detailed instructions, refer to the assigner documentation. The MCP server is now available from the official Teamwork.com repository.

Key features of Teamwork.com AI

  • Unofficial integration with Teamwork.com
  • Assigner behaves as an Agentic AI
  • Extracts skills and job roles from tasks
  • Automatically assigns the best user to tasks
  • Webservice that handles task creation and updates
  • MCP server available from official repository

Use cases of Teamwork.com AI

  • Automating task assignment in Teamwork.com based on user skills and roles
  • Using AI to analyze task descriptions and match them to the most qualified team member
  • Enhancing project management workflows with intelligent task routing

よくある質問

1

Is this an official Teamwork.com product?

No, Teamwork.com AI is an **unofficial** extension. The MCP server has been moved to the official Teamwork.com repository for official support.

2

What are the privacy implications of using Teamwork.com AI?

When interacting with LLMs, data you provide may be used to train and improve AI models. This may include sharing data with third-party providers, which could lead to potential privacy and security risks. Always review the privacy policies of AI providers you use.

3

What runtime or dependencies are required?

The project includes a Go badge in the README, but specific runtime requirements are not detailed. The Assigner is a webservice that requires integration with Teamwork.com webhooks.

4

How does the Assigner determine task assignments?

The Assigner uses Agentic AI to extract skills and job roles from task content, then assigns the task to the best user based on that information.

5

Where can I find the MCP server?

The MCP server has moved to the official Teamwork.com repository at https://github.com/teamwork/mcp.

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