Python File Manager MCP Server

Q: What tools does Python File Manager MCP provide?

It provides three tools: `list_files` (list files in a directory), `read_file` (read file contents), and `get_file_info` (get information about a file).

Q: What are the runtime requirements?

Python version 3.8 or later but less than 4. The server is compatible with macOS, Windows, and Linux.

Q: How do I set the workspace directory?

Set the `workspace_directory` in the user configuration; the default is `${HOME}/Documents`. It can be changed to any accessible directory.

Q: Does it require authentication?

The README does not mention any authentication mechanism. The server likely operates within the local filesystem scope as configured.

Q: What transport does it use?

The README does not specify a transport; it implements the MCP protocol, which typically uses stdio or other transports as defined by the MCP client.

@anthropics

代码仓库

基本信息

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传输方式

stdio

作者

anthropics

提交者

idoubi

关于 Python File Manager MCP Server

A Python MCP server for file operations

#file-operation #python #management #filesystem

Python File Manager MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Python File Manager MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Python File Manager MCP?

Python File Manager MCP is a Python-based MCP server that provides file management capabilities such as file operations and directory management. It is designed for Claude Desktop users (≥0.10.0) and demonstrates proper MCP protocol implementation in a Desktop Extension.

How to use Python File Manager MCP?

Configure the server in an MCP client using the entry point server/main.py with the required arguments --workspace=${user_config.workspace_directory}. Ensure Python 3.8 or later (but <4) is installed. The server exposes three tools: list_files, read_file, and get_file_info.

Key features of Python File Manager MCP

List files in a directory
Read file contents
Get detailed file information
Configurable workspace directory
Debug mode output support

Use cases of Python File Manager MCP

Browsing and inspecting files in a designated workspace
Reading configuration or log files through an MCP client
Obtaining metadata (size, dates, etc.) for files
Learning Python-based MCP server development

常见问题

What tools does Python File Manager MCP provide?

It provides three tools: `list_files` (list files in a directory), `read_file` (read file contents), and `get_file_info` (get information about a file).

What are the runtime requirements?

Python version 3.8 or later but less than 4. The server is compatible with macOS, Windows, and Linux.

How do I set the workspace directory?

Set the `workspace_directory` in the user configuration; the default is `${HOME}/Documents`. It can be changed to any accessible directory.

Does it require authentication?

The README does not mention any authentication mechanism. The server likely operates within the local filesystem scope as configured.

What transport does it use?

The README does not specify a transport; it implements the MCP protocol, which typically uses stdio or other transports as defined by the MCP client.

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