StickyNotes-MCP

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?

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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

FAQ from StickyNotes-MCP

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.

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.

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.

Is this server production-ready?

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

Where are notes stored?

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