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.
Overview
What is StickyNotes-MCP?
StickyNotes-MCP is a Python-based server project that demonstrates how to create custom tools, resources, and prompts using the Model Context Protocol (MCP) for integration with AI assistants like the Claude Desktop App.
How to use StickyNotes-MCP?
To use StickyNotes-MCP, set up the server using the provided Python SDK, and then interact with it through defined tools and resources to manage sticky notes.
Key features of StickyNotes-MCP?
- Tool to add new notes to a local file.
- Tool to read all existing notes.
- Resource to retrieve the latest note.
- Prompt generation for summarizing notes.
Use cases of StickyNotes-MCP?
- Managing personal notes through an AI assistant.
- Integrating sticky note functionality into larger applications.
- Demonstrating the capabilities of the Model Context Protocol in real-world scenarios.
FAQ from StickyNotes-MCP?
- What is the Model Context Protocol (MCP)?
MCP is a standard that allows LLM applications to communicate with external tools and data sources in a modular and scalable way.
- How can I contribute to the project?
Contributions are welcome! You can fork the repository and submit pull requests for improvements.