广告合作
MCP.so
登录

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.

评论

记忆与知识 分类下的更多 MCP 服务器

M1K3

Round-Tower

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

7

The Cloud

Teka

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

Stele

Stele-Dev

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

AOCI-CODE

aoci-spec

Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.

1.7K

Snipara

alopez3006

MCP connector for Snipara, the Project Brain for AI coding agents

1
广告合作