AI Sticky Notes
Enables AI agents to create, read, and summarize sticky notes stored in a local text file through MCP tools, resources, and prompts.
README
🗒️ AI Sticky Notes — MCP Server
A lightweight Model Context Protocol (MCP) server that exposes a simple “sticky notes” system through tools, resources, and prompts.
This server demonstrates how to build an MCP-compatible backend using FastMCP, enabling any MCP-enabled client (LLMs, agents, RAG systems) to read, write, and summarize notes.
🚀 Features
This MCP server provides four main capabilities:
🧰 Tools
| Tool | Description |
|---|---|
add_note(message: str) |
Appends a new note to notes.txt |
read_notes() |
Returns all notes as a single text block |
📦 Resources
| Resource | URI | Description |
|---|---|---|
get_latest_note() |
notes://latest |
Returns the most recently added note |
💬 Prompts
| Prompt | Description |
|---|---|
note_summary_prompt() |
Returns a ready-to-use prompt instructing an AI to summarize all notes |
📂 How It Works
The server stores notes in a local text file. All interactions, adding notes, reading them, getting the latest note, and generating an AI summary prompt, are routed through the MCP server.
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