Plan_mcp_service

Name: Plan_mcp_service
Author: Danson-dan

@Danson-dan

リポジトリ

Plan_mcp_service について

Plan Manager MCP Service

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

Danson-dan

投稿者

Danson

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": {
    "DEXIUbyxuu5XNTb_Fm_fM": {
      "name": "通用计划管理",
      "description": "",
      "baseUrl": "",
      "command": "uv",
      "args": [
        "--directory",
        "/Users/danson/Desktop/test-code/MCP_Server/plan_server_mcp",
        "run",
        "main.py"
      ],
      "env": {},
      "isActive": true,
      "type": "stdio",
      "registryUrl": ""
    }
  }
}

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 Plan_mcp_service?

Plan_mcp_service is a universal plan management service for LLMs, built with the Model Context Protocol (MCP). It allows AI agents to create, manage, and track any kind of plan—such as travel itineraries, study schedules, or habit challenges—using a flexible, tree-based task structure.

How to use Plan_mcp_service?

—

Key features of Plan_mcp_service

Tree-based plan structure for flexible task management.
Supports any type of plan (travel, study, habits, etc.).
Built on the Model Context Protocol (MCP).
Allows AI agents to create, manage, and track plans.

Use cases of Plan_mcp_service

AI agents organizing travel itineraries with subtasks.
Managing study schedules and assignments for students.
Tracking 21-day habit challenges with daily tasks.
General-purpose plan creation and tracking by LLMs.

FAQ from Plan_mcp_service

What types of plans does Plan_mcp_service support?

It supports any kind of plan—from travel itineraries and study schedules to 21-day habit challenges.

What is the underlying technology?

It is built with the Model Context Protocol (MCP).

Does it require any specific runtime or dependencies?

—

Where does plan data live?

—

What transport or authentication does it use?

—

「その他」の他のコンテンツ

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

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