What tools does the server expose?
It exposes two tools: `add_note` (append a new note) and `read_notes` (retrieve all notes). It also provides a resource (`notes://latest`) and a prompt (`note_summary_prompt`).
@aymaneELHICHAMI
基本信息
This is a project for creating a custom MCP server
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
mcp-server-demo (AI sticky notes) is a Model Context Protocol (MCP) application that enables Claude Desktop to create, read, and manage persistent sticky notes. It integrates with Claude Desktop via the MCP ecosystem, allowing natural language interaction with a simple note-taking system.
Clone the repository, install uv, create and activate a virtual environment, run uv sync to install dependencies, then run uv run mcp install main.py. After restarting Claude Desktop, the server is auto‑discovered. Users interact with notes through natural language commands (e.g., “Save this note: …”, “What notes do I have?”).
It exposes two tools: `add_note` (append a new note) and `read_notes` (retrieve all notes). It also provides a resource (`notes://latest`) and a prompt (`note_summary_prompt`).
Notes are saved to a plain text file named `notes.txt`, with each note on a separate line. The file is created automatically if it does not exist.
Python 3.7+, the MCP Python SDK, and the Claude Desktop application are required.
After running `uv run mcp install main.py`, open (or restart) Claude Desktop. The server is automatically discovered and appears as “AI Sticky Notes MCP Server” in the developer settings.
Yes. The server exposes a resource at `notes://latest` that returns the most recent note when accessed by the client.

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