What tools and resources does the server provide?
It offers the `add_note` tool to append a note, the `notes://latest` resource to fetch the latest note, and the `note_summary_prompt` to request a summary of all notes.
@TarcisioPhilips
基本信息
This project demonstrates how to create and use a Model Context Protocol (MCP) server that can provide custom tools and resources to AI assistants like Claude and others that support the MCP standard. The server includes: - Simple math operations (addition) - Dynamic greeting re
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-poc": {
"command": "uv",
"args": [
"init"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
A proof-of-concept implementation of a Model Context Protocol (MCP) server for AI assistant note-taking. It provides custom tools and resources to add, fetch, and summarize notes, and is designed for use with MCP-capable assistants like Claude and Cursor.
Install Python 3.11, clone the repo, set up a virtual environment, install dependencies, and run uv run mcp to start the server. For integration with Cursor, configure the absolute path to main.py in ~/.cursor/mcp.json.
notes.txtnotes.txt)It offers the `add_note` tool to append a note, the `notes://latest` resource to fetch the latest note, and the `note_summary_prompt` to request a summary of all notes.
Notes are saved in a file named `notes.txt` in the project root directory. The file is created automatically if it does not exist.
Python 3.11 and the packages listed in `requirements.txt` (including the MCP SDK) are needed. Optionally, the `mcp[cli]` extras can be installed.
Create or edit `~/.cursor/mcp.json` (Windows: `C:\Users\<username>\.cursor\mcp.json`) with a JSON entry specifying the Python command and the absolute path to `main.py`, then restart Cursor.
The server uses stdio (standard input/output) as its transport mechanism, which means it communicates via command-line input/output streams.
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