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MCP Calendar Tool Server

@KyanBergeron4Runr

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基本情報

カテゴリ

生産性

トランスポート

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作者

KyanBergeron4Runr

MCP Calendar Tool Server について

概要はまだありません

MCP Calendar Tool 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

MCP Calendar Tool Server のツール

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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 Calendar Tool Server?

A FastAPI-based MCP (Model Context Protocol) server that provides calendar management tools—check availability, add, update, and delete events—for AI agents running in n8n.

How to use MCP Calendar Tool Server?

Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with your API key, then run uvicorn main:app --host 0.0.0.0 --port 5000. Connect n8n’s MCP Client node to the SSE endpoint at http://localhost:8000/mcp-events.

Key features of MCP Calendar Tool Server

  • Server-Sent Events (SSE) for real-time tool discovery
  • HTTP endpoints for tool execution
  • Four calendar management tools: check availability, add, update, delete
  • API key authentication
  • Mock implementations ready for real calendar API integration
  • Structured project with Pydantic schemas and separate tool modules

Use cases of MCP Calendar Tool Server

  • AI agents in n8n that need to check room availability before scheduling meetings
  • Automating event creation from chatbot conversations or workflow triggers
  • Updating or rescheduling calendar events without manual intervention
  • Deleting cancelled events through automated n8n workflows

よくある質問

1

What dependencies are required?

Python packages listed in `requirements.txt`; install with `pip install -r requirements.txt`.

2

How is authentication handled?

The server uses an API key set in the `.env` file as `API_KEY`. All tool execution requests require the `X-API-Key` header.

3

Does it integrate with real calendar services?

No, the current version uses mock implementations. Future improvements include integration with Google Calendar, Cal.com, and others.

4

What transport does the server use?

It uses Server-Sent Events (SSE) for tool discovery (`GET /mcp-events`) and HTTP POST for tool execution (`POST /mcp/message`).

5

What are the current limitations?

The server provides mock data only, no real calendar backend. It requires Python 3 and a running FastAPI instance.

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