What dependencies are required?
Python 3.12 or higher, and the packages `mcp[cli]>=1.6.0`, `google-genai>=1.12.1`, and `python-dotenv`.
@dynstat
基本情報
A working example of your own agents from the scratch and using it with the mcp servers from scratch
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": {
"File Operations Agent": {
"command": "python",
"args": [
"file_agent_server.py"
]
}
}
}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。
MCP File Operations Agent is a simple Model Context Protocol (MCP) server that exposes file system operations as tools, enabling AI agents to read file contents, write to files, and list directory contents through a client-server architecture. It is built for developers integrating file manipulation into MCP-based workflows.
Install the package with pip install -e ., then create a .env file with your API keys. Run the server with python file_agent_server.py and the client with python file_agent_client.py. The server supports both Stdio and SSE transports; see the provided code examples for tool definition and client connection.
.cursor/mcp.json configuration.Python 3.12 or higher, and the packages `mcp[cli]>=1.6.0`, `google-genai>=1.12.1`, and `python-dotenv`.
Create a `.env` file in the project root with your API keys, following the format shown in `.env-sample`.
The server provides three tools: `read_file` to read a file, `write_file` to write content to a file, and a tool to list directory contents (not explicitly named but implied by features).
The server can run via Stdio (local inter-process communication) or SSE (HTTP-based, suitable for network interactions). Both are demonstrated with complete code examples in the README.
Yes, configure the server in `.cursor/mcp.json` with the appropriate command and path to `file_agent_server.py`.

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