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Custom MCP Server for AI-Powered Sticky Notes

@kishorekrrish3

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

kishorekrrish3

关于 Custom MCP Server for AI-Powered Sticky Notes

A lightweight server built with FastMCP + uv, enabling natural language commands to manage notes, reminders & productivity within Claude Desktop.

#ai#sticky-notes#productivity

Custom MCP Server for AI-Powered Sticky Notes 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Custom-MCP-Server-for-AI-Powered-Sticky-Notes": {
      "command": "uv",
      "args": [
        "init",
        "."
      ]
    }
  }
}

Custom MCP Server for AI-Powered Sticky Notes 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🧠 Custom MCP Server for AI-Powered Sticky Notes?

This is a lightweight Model Context Protocol (MCP) server built with FastMCP that lets AI assistants create, retrieve, and manage sticky notes using natural language. Notes are stored locally in a plain .txt file, making the system transparent and customizable. It is designed for users who want to turn conversations into persistent notes for productivity, brainstorming, and reminders.

How to use 🧠 Custom MCP Server for AI-Powered Sticky Notes?

Install Python 3.12+, the uv package manager, and optionally Claude Desktop. Run uv init ., then uv add "mcp[cli]", and finally uv run mcp install main.py to register the server. After restarting Claude Desktop (if used), the tools add_note, get_notes, and search_notes become available for natural language note management.

Key features of 🧠 Custom MCP Server for AI-Powered Sticky Notes

  • Natural language note creation via AI assistants
  • Instant retrieval of previously saved notes
  • Persistent local storage in a .txt file
  • Fast Python environment using the uv package manager
  • Automatic tool registration inside Claude Desktop
  • Extensible design for adding new tools

Use cases of 🧠 Custom MCP Server for AI-Powered Sticky Notes

  • Save reminders during AI conversations
  • Store and organize ideas without switching apps
  • Retrieve previously saved notes across sessions
  • Maintain persistent context for ongoing projects

常见问题

1

What are the runtime requirements?

Python 3.12+ and the `uv` package manager are required. Claude Desktop is optional but recommended for full AI client integration.

2

Where are notes stored?

All notes are saved in a `notes.txt` file located in the project directory.

3

What if the MCP server is not visible in Claude?

Restart Claude Desktop: open Task Manager, end the Claude process, and relaunch the app.

4

What if notes are not saving?

Ensure `notes.txt` exists in the project directory and that the MCP server has write permissions to the file.

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