MCP (Model Context Protocol) Server for taking notes.
LocalAbout MCP (Model Context Protocol) Server for taking notes.
This Python-based MCP server is for taking notes through LLM clients such as Claude Desktop. The project describes structured messaging, concurrent client connections, and a modular design, but gives no details about specific note operations.
Key features
- 01Implemented in Python
- 02Structured message passing
- 03Handles multiple client connections
- 04Modular design
Use cases
- 01Take notes through an LLM client
- 02Run the server with multiple connected clients
MCP support
The MCP server provides a protocol interface for note-taking clients; the README does not specify the note-taking tools available.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP (Model Context Protocol) Server for taking notes.
This repository contains the source code and configuration files for an MCP Server implementation to take notes. The Model Context Protocol is a communication framework designed to facilitate structured data exchange between clients and servers. This README provides an overview of the project, its structure, and instructions for setting up and running the server.
Project Overview
The MCP Server is a Python-based application that implements the Model Context Protocol for client-server communication. It supports features such as:
- Structured Message Passing: Messages are exchanged in a predefined format (e.g., JSON).
- Concurrency: Handles multiple client connections simultaneously.
- Extensibility: Designed to be modular and adaptable for various use cases.
Project Structure
Core Files
-
main.py- Description: The main entry point of the MCP Server application. This script initializes the server, listens for incoming client connections, and processes requests using the Model Context Protocol.
- Usage: Run this file to start the server.
uv run mcp install main.py
-
pyproject.toml- Description: Configuration file for the Python project. It specifies dependencies, build settings, and other metadata required for tools like
poetryorpiporuv. - Usage: Used by package managers to install dependencies and configure the project environment.
- Description: Configuration file for the Python project. It specifies dependencies, build settings, and other metadata required for tools like
Getting Started
Prerequisites
- Python 3.x installed on your system.
- Dependencies listed in
pyproject.toml.
Installation
- Clone the repository:
git clone https://github.com/yourusername/mcp-server.git cd mcp-server
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.