MCP Demo Server
@mysterium-coniunctionis
MCP Demo Server について
A demonstration implementation of the Model Context Protocol (MCP) server with advanced features
基本情報
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-demo-mysterium-coniunctionis": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール
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概要
What is MCP Demo Server?
MCP Demo Server is a comprehensive Python-based demonstration of the Model Context Protocol (MCP) server implementation. It showcases MCP features including data storage (SQLite CRUD), image processing (thumbnails, resize, rotate, crop), file handling, and analysis tools. It is intended for developers learning or testing the MCP protocol.
How to use MCP Demo Server?
Install via pip install mcp-demo for production, or clone the repository and run make install for development. Start the server in development mode with mcp dev mcp_demo/server.py, install it in Claude Desktop using mcp install mcp_demo/server.py, or run directly with python -m mcp_demo.server.
Key features of MCP Demo Server
- SQLite database integration with CRUD operations
- Image processing: thumbnail generation, resize, rotate, crop
- Progress tracking for batch operations
- Statistical calculations and data point analysis
- Error debugging assistance
- File processing with batch support and error handling
Use cases of MCP Demo Server
- Exploring and testing MCP server capabilities in a sandbox environment
- Demonstrating data storage and retrieval via SQLite within an MCP server
- Experimenting with image processing operations (resize, rotate, crop, thumbnails)
- Learning how to implement progress tracking for long-running tasks
- Prototyping analysis tools that require statistical calculations
FAQ from MCP Demo Server
What is the purpose of MCP Demo Server?
It is a demonstration project that showcases various MCP server features, including data storage, image processing, file handling, and analysis.
How do I install MCP Demo Server?
For production, run pip install mcp-demo. For development, clone the repository, create a Python virtual environment, and run make install.
How do I run the server?
Use mcp dev mcp_demo/server.py for development mode, mcp install mcp_demo/server.py to add it to Claude Desktop, or python -m mcp_demo.server for direct execution.
What dependencies are required?
Python 3 and a virtual environment are recommended. The server uses SQLite (included) and standard Python libraries; image processing and file handling are built‑in.
Is the project open source? How can I contribute?
Yes, licensed under the MIT License. To contribute, fork the repository, create a feature branch, commit changes, and open a Pull Request.
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