@pranav-js670
基本信息
A Python MCP server for Sticky Notes that demonstrates how to create custom tools, resources, and prompts using the Model Context Protocol (MCP) to integrate seamlessly with the Claude Desktop App.
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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.
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add_note(message: str) appends a note to notes.txtread_notes() returns all notes as a concatenated stringget_latest_note() retrieves the most recent notenote_summary_prompt() generates a summary request for the AIMCP 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.
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.
The server is written in Python and uses the official MCP SDK from Anthropic. Python 3.x is required.
No. The README describes it as a proof-of-concept and starter implementation, not intended for production use.
Notes are stored in a plain text file named `notes.txt` in the server’s working directory.
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