mcp-note-taker

# MCP Note Taker (POC) A proof-of-concept implementation of a Model Context Protocol (MCP) server for AI assistant note-taking, featuring custom tools and resources for managing notes. ## Overview This project demonstrates how to create and use a Model Context Protocol (MCP) server that provides note-taking capabilities to AI assistants (such as Claude, Cursor, and others supporting MCP). The server includes: - A tool to add notes - A resource to fetch the latest note - A prompt to summarize all notes All notes are stored in a local `notes.txt` file in the project directory. ## Requirements - Python 3.11 - Required packages listed in requirements.txt ## Installation and Setup 1. Clone this repository: ```bash git clone https://github.com/yourusername/mcp-server-poc.git cd mcp-server-poc ``` 2. Create and activate a virtual environment: ```bash # Init uv package manager uv init # Create a Python 3.11 virtual environment uv venv # Activate on Windows .venv\Scripts\activate # Activate on macOS/Linux source venv/bin/activate ``` 3. Install the required packages: ```bash uv pip install -r requirements.txt ``` 4. (Optional) Install MCP CLI tools if needed for development or alternative integrations: ```bash uv add "mcp[cli]" ``` ## Running the Application To run the MCP server: ```bash uv run mcp ``` The server will start and wait for connections using the stdio transport method. ## Integrating with Cursor To use this MCP server with Cursor IDE: 1. Create or edit the file `~/.cursor/mcp.json` (on Windows: `C:\Users\<username>\.cursor\mcp.json`) with the following content: ```json { "mcpServers": { "mcp-server": { "command": "python", "args": [ "ABSOLUTE/PATH/TO/main.py" ] } } } ``` 2. Replace the path with the absolute path to your `main.py` file. - On Windows, use double backslashes: `C:\\Users\\username\\path\\to\\main.py` - On macOS/Linux, use regular slashes: `/Users/username/path/to/main.py` 3. Restart Cursor completely (including ending any background processes) to load the MCP server. ## Features ### Tools - **add_note(note: str)**: Adds a note to the `notes.txt` file and returns a confirmation message. ### Resources - **notes://latest**: Returns the latest note from the `notes.txt` file, or a message if there are no notes yet. ### Prompts - **note_summary_prompt()**: Generates a prompt asking the AI to summarize all current notes in `notes.txt`. ## Technical Details - All notes are stored in a plain text file named `notes.txt` in the project root. This file is created automatically if it does not exist. - The server uses the [Model Context Protocol](https://modelcontextprotocol.io/) SDK and the `mcp[cli]` dependency. ### Windows Binary Mode Fix If you use stdio transport on Windows, you may need to set binary mode for stdin/stdout. See the [MCP documentation](https://modelcontextprotocol.io/) for details. ## Troubleshooting - Verify that all required packages are installed (`pip list` to check) - Check that the absolute path in the configuration file is correct - Make sure the MCP server is running with the proper version of Python (3.11) - If you encounter issues, try running the MCP server directly to see any error output ## License [MIT License](LICENSE) ## Acknowledgements - This project uses the [Model Context Protocol](https://modelcontextprotocol.io/) SDK