Plan_mcp_service
About
Planmcpservice 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…
Details
- Author
- Danson-dan
- Downloads
- 109
- Categories
- Other
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- 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.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Plan_mcp_serviceCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
—
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"plan_mcp_service": {
"DEXIUbyxuu5XNTb_Fm_fM": {
"name": "\u901a\u7528\u8ba1\u5212\u7ba1\u7406",
"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": ""
}
}
}
}McpServers
{
"DEXIUbyxuu5XNTb_Fm_fM": {
"name": "\u901a\u7528\u8ba1\u5212\u7ba1\u7406",
"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": ""
}
}Plan Manager MCP Service
A powerful, universal plan management service for LLMs, built with the Model Context Protocol (MCP).
This service allows AI agents to create, manage, and track any kind of plan—from travel itineraries and study schedules to 21-day habit challenges—using a flexible, tree-based task structure.
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