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Kanvas MCP Server

@bakaphp

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

bakaphp

Kanvas MCP Server について

Kanvas MCP Server

#kanvas#mcp#server

Kanvas MCP Server 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": {
    "kanvas_mcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "kanvas/mcp:dev",
        "-f",
        "Dockerfile",
        "."
      ]
    }
  }
}

Kanvas 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 Kanvas MCP Server?

An MCP (Model Context Protocol) server that integrates with Kanvas to manage events and reminders. It is designed for users who need to create, view, and list events and reminders via a Docker container.

How to use Kanvas MCP Server?

Build the Docker image with docker build -t kanvas/mcp:dev -f Dockerfile . and run it with docker run -p 8888:8888 kanvas/mcp:dev. The server executes python server.py on startup.

Key features of Kanvas MCP Server

  • Create events on Kanvas.
  • See (view) existing events.
  • Set reminders.
  • List reminders.
  • Runs as a Docker container on port 8888.

Use cases of Kanvas MCP Server

  • Automating event creation and reminder management through MCP.
  • Integrating Kanvas event/reminder functionality into AI workflows.
  • Containerized deployment for consistent server environments.

よくある質問

1

What does Kanvas MCP Server do?

It enables creating events, viewing events, setting reminders, and listing reminders via an MCP interface.

2

How do I build and run the server?

Build the Docker image using `docker build -t kanvas/mcp:dev -f Dockerfile .` and run it with `docker run -p 8888:8888 kanvas/mcp:dev`. No additional configuration is documented.

3

What port does the server use?

It uses port 8888 as exposed in the Docker run command.

4

What dependencies or runtime are required?

— (The README does not specify runtime dependencies beyond Docker and Python.)

5

Where does data live or how is authentication handled?

— (The README does not mention data storage or authentication.)

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