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MCP (MCP) Server for taking notes.

@BeingSoumyadeepSharma

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

BeingSoumyadeepSharma

MCP (MCP) Server for taking notes. について

MCP Server for taking notes using an LLM client like Claude Desktop.

#mcp-notes#note-taking#model-context-protocol

MCP (MCP) Server for taking notes. の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-notes-beingsoumyadeepsharma": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "install",
        "main.py"
      ]
    }
  }
}

MCP (MCP) Server for taking notes. のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP (Model Context Protocol) Server for taking notes?

This is a Python-based implementation of the Model Context Protocol (MCP) designed for taking notes. It enables structured message exchange between clients and servers, supporting features like JSON-formatted messages, concurrent connections, and modular extensibility.

How to use MCP (Model Context Protocol) Server for taking notes?

Clone the repository, ensure Python 3.x and the dependencies listed in pyproject.toml, then run uv run mcp install main.py to start the server.

Key features of MCP (Model Context Protocol) Server for taking notes

  • Structured message passing in a predefined JSON format.
  • Handles multiple client connections simultaneously.
  • Modular and extensible design for various use cases.
  • Python-based, leveraging the Model Context Protocol.

Use cases of MCP (Model Context Protocol) Server for taking notes

  • Building a note-taking system with structured client-server communication.
  • Enabling concurrent note-taking clients to interact with a central server.
  • Creating an extendable framework for custom note management features.

よくある質問

1

What are the prerequisites to run the server?

Python 3.x must be installed, and all dependencies listed in `pyproject.toml` need to be resolved.

2

How do I start the server?

Run the command `uv run mcp install main.py` in the project directory.

3

What protocol and message format does the server use?

It implements the Model Context Protocol; messages are exchanged in a JSON-based structured format.

4

Can the server handle multiple clients at once?

Yes, the server supports concurrency and processes requests from multiple clients simultaneously.

5

Is the server extensible for custom functionality?

Yes, the design is modular and adaptable, allowing integration of new features or use cases.

コメント

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