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Ai Scheduler MCP Server

@torohash

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

torohash

Ai Scheduler MCP Server について

google tasks apiとgoogle calendar apiを利用したスケジューリング用のsse対応のmcp server

Ai Scheduler 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": {
    "ai-scheduler-mcp": {
      "command": "docker",
      "args": [
        "network",
        "create",
        "mcp-network"
      ]
    }
  }
}

Ai Scheduler 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 ai-scheduler-mcp?

ai-scheduler-mcp is an MCP (Model Context Protocol) server that integrates Google Tasks and Calendar APIs. It allows MCP clients (such as Roo Code) to access and manage Google Tasks and Calendar functionality via Docker and SSE transport.

How to use ai-scheduler-mcp?

Set up a Docker network named mcp-network, obtain OAuth 2.0 credentials from Google Cloud Console, download credentials.json, build the Docker image using the provided script, run initial authentication to generate token.json, then start the server with ai_scheduler_mcp start. Connect your MCP client to the SSE endpoint at http://localhost:<PORT>/sse.

Key features of ai-scheduler-mcp

  • Integrates Google Tasks and Calendar APIs
  • Runs in a Docker container
  • Uses SSE (Server-Sent Events) transport
  • Configurable via environment variables and command options
  • Provides a management script for build, start, stop, logs, and delete

Use cases of ai-scheduler-mcp

  • Managing tasks and calendar events through AI assistants
  • Automating scheduling workflows with MCP-compatible clients
  • Integrating Google Tasks and Calendar into custom automation pipelines

よくある質問

1

What Google APIs are required?

Google Tasks API and Google Calendar API must be enabled in your Google Cloud Console project.

2

How do I set up authentication?

Create an OAuth 2.0 client ID (desktop or web app type), download `credentials.json` to the project root, run `ai_scheduler_mcp start-auth`, authorize via the displayed URL, and paste the returned code.

3

What transport protocol does the server use?

The server uses SSE (Server-Sent Events). The connection URL is `http://<host>:<port>/sse`.

4

Can I change the default port?

Yes. Use the `-P <port>` option when starting the server (e.g., `ai_scheduler_mcp start -P 8080`) or set the `PORT` environment variable.

5

Where is the authentication token stored?

After the initial authentication, a `token.json` file is generated in the project root. This file is sensitive and must not be committed to Git.

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