실행과정

@Armdiri

About 실행과정

No overview available yet

#mcp #automation #server

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

Armdiri

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Comments

More Other MCP servers

EverArt

modelcontextprotocol

Model Context Protocol Servers

XcodeBuildMCP

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Awesome-MCP-ZH

MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients

Production-ready MCP integrations for AI applications

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

Awesome Mcp Servers

A collection of MCP servers.