Chat Logger

🚀 MCP Chat Logger

MCP Chat Logger is a simple yet powerful tool for saving chat records. It can save chat histories as Markdown files, making it easy for subsequent viewing and sharing.

🚀 Quick Start

MCP Chat Logger is a straightforward and potent tool designed to save chat histories as Markdown files. This facilitates easy review and sharing of past conversations.

✨ Features

• Supports large - model call tools to save chat histories as formatted Markdown files.
• Automatically adds timestamps to each message.
• Allows customizing the save directory.
• Supports session IDs to identify different conversations.

📦 Installation

Installation via Smithery

To automatically install MCP Chat Logger via Smithery:

npx -y @smithery/cli install @AlexiFeng/MCP_Chat_Logger --client claude

Manual Installation

1. Clone this repository:

git clone https://github.com/yourusername/MCP_Chat_Logger.git
cd MCP_Chat_Logger

2. Install dependencies: Install uv in advance.

uv add "mcp[cli]"

💻 Usage Examples

Basic Usage

1. Start the mcp service in the project directory:

uv run chat_logger.py

2. Add the mcp server configuration in cursor/cherry studio:

"chat_logger": {
      "name": "chat_logger",
      "isActive": false,
      "command": "uv",
      "args": [
        "--directory",
        "Project path (e.g., ~/MCP_Chat_Logger/)",
        "run",
        "chat_logger.py"
      ]
    }

📚 Documentation

Project Structure

MCP_Chat_Logger/
├── chat_logger.py      # Core functionality implementation
├── chat_logs/          # Default save directory
├── README.md           # Project description
├── README_zh.md        # Chinese description
├── README_en.md        # English description
└── .gitignore          # Git ignore file

Contribution Guidelines

We welcome the submission of issues and pull requests! If you want to contribute code, please follow these steps:

1. Fork this repository.
2. Create your feature branch (git checkout -b feature/amazing-feature).
3. Commit your changes (git commit -m 'Add some amazing feature').
4. Push to the branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

Next Phase

Add an Overview function.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.