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실행과정 MCP Server

@Armdiri

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基本情報

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その他

トランスポート

stdio

作者

Armdiri

실행과정 MCP Server について

概要はまだありません

#mcp#automation#server

실행과정 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": {
    "mcp_autojob_server": {
      "command": "uv",
      "args": [
        "init",
        "[mcp-server-name]",
        "--python",
        "3.12",
        "#원하는",
        "버전"
      ]
    }
  }
}

실행과정 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 실행과정?

실행과정 is an MCP server that automates a developer's daily morning routine. It checks the user's schedule, provides the day's weather, lists emails requiring a reply, and enumerates incomplete JIRA tickets assigned to the user. It is built with the MCP Python SDK and targets knowledge workers seeking office automation.

How to use 실행과정?

Install uv, create a Python 3.12 project, add the mcp[cli] package, create a server.py file, then run mcp dev server.py for local development or mcp install server.py to integrate with Cursor and Claude. A Docker Compose file is provided for deployment as a server.

Key features of 실행과정

  • Daily schedule check
  • Weather report for the day
  • Email reply reminders
  • Incomplete JIRA ticket listing
  • Built with MCP Python SDK
  • Docker Compose support for server deployment
  • Unit testing with pytest
  • Structured logging with structlog

Use cases of 실행과정

  • Automate the start of a workday by retrieving schedule, weather, and tasks
  • Get a quick summary of pending email replies
  • Track incomplete JIRA tickets without opening the board
  • Integrate with Cursor or Claude as an agent for daily planning

よくある質問

1

What Python version is required?

Python 3.12 is used in the setup steps.

2

How do I run the server locally?

Use `mcp dev server.py` to start a development server, or `mcp install server.py` to make it available as an agent in Cursor and Claude.

3

Does it require external services?

The plan mentions checking weather and JIRA, but specific API details are not provided in the README.

4

How do I deploy it as a server?

Use Docker Compose: `docker compose up -d --build` to build and run in the background.

5

What are the main dependencies?

`uv`, `mcp[cli]`, `structlog`, `python-dotenv`, `pytest`, `requests`, and optionally Docker.

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