MCP-Server: AI Sticky Notes

@HKanoje

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

HKanoje

关于 MCP-Server: AI Sticky Notes

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MCP-Server: AI Sticky Notes 配置

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MCP-Server: AI Sticky Notes 工具

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概览

What is 🗒️ MCP-Server: AI Sticky Notes?

A lightweight Python server that lets you create, read, and summarize sticky notes using AI tools. It is built on FastMCP and stores notes in a plain text file, making it easy to integrate with MCP-compatible AI clients.

How to use 🗒️ MCP-Server: AI Sticky Notes?

Ensure you have Python 3.7+ and the fastmcp package installed. Run main.py as the entry point. The server exposes tools (add_note, read_notes, get_latest_note, note_summary_prompt) that your AI client can call.

Key features of 🗒️ MCP-Server: AI Sticky Notes

Add new sticky notes via add_note(message)
View all stored notes with read_notes()
Retrieve the most recent note using get_latest_note()
Generate an AI summarization prompt via note_summary_prompt()

Use cases of 🗒️ MCP-Server: AI Sticky Notes

Quickly jot down reminders or ideas from an AI conversation
Retrieve and review all notes during a session
Have an AI assistant summarize a collection of notes
Serve as a lightweight note‑keeping backend for MCP‑powered agents

常见问题

What tools does the server provide?

It provides four tools: `add_note` (add a new note), `read_notes` (return all notes), `get_latest_note` (fetch the most recent note), and `note_summary_prompt` (generate a summarization prompt).

Where are notes stored?

All notes are stored in a file named `notes.txt` in the same directory as the server.

What are the runtime requirements?

Python 3.7 or later and the `fastmcp` Python package.

How does the summarization work?

Calling `note_summary_prompt()` returns a prompt string (e.g., “Summarize the current notes: …”) designed to be sent to an AI model, which then produces a concise summary.

Who created this server?

It was created by [HKanoje](https://github.com/HKanoje).

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