How do I install the dependencies?
Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
@dazzaji
基本情報
概要はまだありません
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-client-server-dazzaji": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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。
Run the MCP Client is a Python client for testing a Model Context Protocol (MCP) filesystem server. It connects to a running server, lists available tools, and invokes them—defaulting to a write_file call that creates a test file. It is aimed at developers who want to verify their MCP server setup.
Create a virtual environment, install dependencies (mcp, python-dotenv), and set up a .env file with the server path and allowed directory. Run python client.py to execute the default tool (write_file). Optionally pass a specific tool and arguments via CLI flags --tool and --args.
.env or command‑line arguments.Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
Set the `TOOL` and `ARGS` environment variables in `.env`, or pass them as `--tool` and `--args` when running `python client.py`.
If no tool is specified, it calls `write_file` to create `test.txt` with the content “Hello from Python the new standup MCP client!” in the allowed directory.
Yes. The client expects an MCP filesystem server (e.g., the Node.js server from the referenced repository) to be started and listening on the path specified in `SERVER_PATH`.
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