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MCP Intranet OnBotGo

@reyer3

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

reyer3

MCP Intranet OnBotGo について

Model Context Protocol (MCP) Server para administración inteligente de tareas del equipo OnBotGo. Integra APIs existentes de Apiaim e Intranet con capacidades de IA para gestión optimizada de proyectos.

#mcp-intranet#task-management#ai-integration

MCP Intranet OnBotGo の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-intranet-onbotgo": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Intranet OnBotGo 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 MCP Intranet OnBotGo?

MCP Intranet OnBotGo is a Model Context Protocol server that integrates OnBotGo’s existing Apiaim and Intranet APIs with AI capabilities for intelligent task management. It is designed for teams using OnBotGo to automate task creation, assignment, and project tracking.

How to use MCP Intranet OnBotGo?

Clone the repository, set up a Python virtual environment, install dependencies from requirements.txt, copy .env.example to .env and fill in credentials, then run python -m mcp_onbotgo.server.

Key features of MCP Intranet OnBotGo

  • Automatic task creation from natural language descriptions
  • Intelligent assignment based on workload and expertise
  • Automatic client and project detection
  • Dependency management and complex workflow support
  • Google Identity Toolkit and OAuth 2.1 authentication
  • Granular role‑based permissions and persistent sessions

Use cases of MCP Intranet OnBotGo

  • Create and assign tasks in a team project board via natural language
  • Automatically associate tasks with the correct clients and projects
  • Prioritize tasks and detect scheduling conflicts
  • Add contextual comments and update task progress through AI suggestions

よくある質問

1

What authentication does it use?

It uses Google Identity Toolkit with OAuth 2.1 and granular role‑based permissions.

2

What are the runtime requirements?

Python 3, a virtual environment, and dependencies listed in `requirements.txt`.

3

Which APIs does it integrate?

It integrates OnBotGo’s APIs: BuscarClientes, CrearTareaEnTablero, ActualizarTareaEnTablero, and AgregarComentarioATarea.

4

Does it support persistent sessions?

Yes, it provides persistent sessions through MCP.

5

What is the target response time?

The server aims for an average response time under 200ms.

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