How do I use AI Sticky Notes?

This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

AI Sticky Notes

by emmamannan

Overview Schema Source Related Servers Discussions Admin

Python

Local

🗒️ 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

Related MCP server: Sticky Notes MCP Server

📂 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.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

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