MCP Server Demo
@Maureth
MCP Server Demo について
A demo project using the MCP Python SDK.
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-server-demo-maureth": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール
ツールは検出されませんでした
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 Server Demo?
MCP Server Demo is a demonstration project that shows how to use the MCP Python SDK to build a server. It is intended for developers learning the Model Context Protocol and the MCP SDK.
How to use MCP Server Demo?
Clone the repository, create and activate a Python virtual environment, install the required packages from requirements.txt, and run python server.py. The project also uses uv for dependency locking; after installation run uv lock to generate a lock file.
Key features of MCP Server Demo
- Built using the MCP Python SDK
- Uses
uvfor dependency management and version locking - Provides installation guides for WSL (Ubuntu) and Windows
- Includes a simple server script (
server.py)
Use cases of MCP Server Demo
- Learning how to create an MCP-compatible server with the Python SDK
- Testing and experimenting with the MCP protocol in a minimal setup
FAQ from MCP Server Demo
What is this server for?
It is a demonstration of using the MCP Python SDK to build a server; it has no production functionality beyond showing how the SDK works.
What are the prerequisites to run it?
Python 3.11 or higher, Git, and build-essential (on Linux) or Visual C++ build tools (on Windows). A virtual environment is recommended.
How do I install and run the server?
Clone the repository, create a virtual environment, install dependencies with pip install -r requirements.txt, then run python server.py.
What is uv and why is it used?
uv is used for dependency management and locking package versions into a uv.lock file to ensure consistent environments across installations.
What do I need to do after installing dependencies?
You can optionally run uv lock to generate a lock file, then start the server with python server.py.
「その他」の他のコンテンツ
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
IDA Pro MCP
mrexodiaAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Blender
ahujasidOpen-source MCP to use Blender with any LLM
コメント