広告掲載
MCP.so
ログイン

mcp-server-demo (AI sticky notes) MCP Server

@aymaneELHICHAMI

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

aymaneELHICHAMI

mcp-server-demo (AI sticky notes) MCP Server について

This is a project for creating a custom MCP server

mcp-server-demo (AI sticky notes) 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。

リポジトリ

mcp-server-demo (AI sticky notes) MCP Server のツール

ツール一覧はまだありません

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 mcp-server-demo (AI sticky notes)?

mcp-server-demo (AI sticky notes) is a Model Context Protocol (MCP) application that enables Claude Desktop to create, read, and manage persistent sticky notes. It integrates with Claude Desktop via the MCP ecosystem, allowing natural language interaction with a simple note-taking system.

How to use mcp-server-demo (AI sticky notes)?

Clone the repository, install uv, create and activate a virtual environment, run uv sync to install dependencies, then run uv run mcp install main.py. After restarting Claude Desktop, the server is auto‑discovered. Users interact with notes through natural language commands (e.g., “Save this note: …”, “What notes do I have?”).

Key features of mcp-server-demo (AI sticky notes)

  • Save new notes to persistent storage
  • Retrieve all saved notes
  • Access the most recently added note via a resource
  • Generate a prompt to summarize existing notes
  • Notes stored in a simple text file (notes.txt)

Use cases of mcp-server-demo (AI sticky notes)

  • Save a reminder (“Remember to schedule a team meeting”) and confirm storage
  • Ask for all existing notes and retrieve them
  • Request the latest note (“What was my most recent note?”)
  • Ask Claude to summarize all notes using the built‑in prompt

よくある質問

1

What tools does the server expose?

It exposes two tools: `add_note` (append a new note) and `read_notes` (retrieve all notes). It also provides a resource (`notes://latest`) and a prompt (`note_summary_prompt`).

2

How are notes stored?

Notes are saved to a plain text file named `notes.txt`, with each note on a separate line. The file is created automatically if it does not exist.

3

What are the prerequisites to run the server?

Python 3.7+, the MCP Python SDK, and the Claude Desktop application are required.

4

How do I connect the server to Claude Desktop?

After running `uv run mcp install main.py`, open (or restart) Claude Desktop. The server is automatically discovered and appears as “AI Sticky Notes MCP Server” in the developer settings.

5

Can I see a list of all notes through a resource?

Yes. The server exposes a resource at `notes://latest` that returns the most recent note when accessed by the client.

コメント

「メモリとナレッジ」の他のコンテンツ

Scento Perfume API (MCP server): free fragrance API, no key

Scento

Scento Perfume API is a free fragrance API and perfume notes database for developers and AI agents. Search 1,500+ perfumes and 400+ ingredients, compare scents, find similar perfumes, map scent families and build occasio

LoreKeeper RPG (lorekeeper.com)

LoreKeeper Ltd

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

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

agentleFS

agentleFS

One permissioned folder your team and your AI agents both log into.

Azquo

Azquo Holdings Ltd

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,

広告掲載