Plan_mcp_service

Name: Plan_mcp_service
Author: Danson-dan

@Danson-dan

Repository

About Plan_mcp_service

Plan Manager MCP Service

Basic information

Config

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

{
  "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": ""
    }
  }
}

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 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?

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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?

—

Comments

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