실행과정

Name: 실행과정
Author: Armdiri

@Armdiri

リポジトリ

실행과정 について

概要はまだありません

#mcp #automation #server

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

Armdiri

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from 실행과정

What Python version is required?

Python 3.12 is used in the setup steps.

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.

Does it require external services?

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

How do I deploy it as a server?

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

What are the main dependencies?

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

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