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StickyNotes MCP Server

@pranav-js670

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作者

pranav-js670

StickyNotes MCP Server について

A Python MCP server for Sticky Notes that demonstrates how to create custom tools, resources, and prompts using the Model Context Protocol (MCP) to integrate seamlessly with the Claude Desktop App.

#mcp#python#sticky-notes#ai-integration

StickyNotes MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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StickyNotes MCP Server のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 StickyNotes-MCP?

StickyNotes-MCP is a simple Python-based MCP (Model Context Protocol) server that demonstrates how to create custom tools, resources, and prompts for managing sticky notes. It integrates with AI assistants like the Claude Desktop App and serves as a proof-of-concept for extending LLM capabilities through the MCP standard.

How to use StickyNotes-MCP?

—

Key features of StickyNotes-MCP

  • add_note(message: str) appends a note to notes.txt
  • read_notes() returns all notes as a concatenated string
  • Resource get_latest_note() retrieves the most recent note
  • Prompt note_summary_prompt() generates a summary request for the AI
  • Built with the official Python MCP SDK

Use cases of StickyNotes-MCP

  • Teach developers how to build MCP servers from scratch
  • Enable AI assistants to store and retrieve sticky notes
  • Demonstrate tool, resource, and prompt patterns in MCP
  • Serve as a reusable starter template for custom MCP projects

よくある質問

1

What is MCP and why is it used?

MCP is an open standard introduced by Anthropic that defines a modular way for LLMs to interact with external tools and data. It uses JSON-RPC messages, stateful sessions, and sandboxing to improve scalability, security, and integration across applications.

2

What tools and resources does this server expose?

It provides two tools (`add_note` and `read_notes`), one resource (`get_latest_note`), and one prompt (`note_summary_prompt`). All manage a local `notes.txt` file.

3

What language and SDK are required?

The server is written in Python and uses the official MCP SDK from Anthropic. Python 3.x is required.

4

Is this server production-ready?

No. The README describes it as a proof-of-concept and starter implementation, not intended for production use.

5

Where are notes stored?

Notes are stored in a plain text file named `notes.txt` in the server’s working directory.

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