What runtime does MCP File System Server require?
Python is required. The recommended setup uses a virtual environment and installs dependencies via `pip install -e .`. No other external services are needed.
@asirulnik
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-filesystem-asirulnik": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Lists files and directories in the project directory
Reads the contents of a file
Creates or overwrites files atomically
Adds content to existing files
Removes files from the filesystem
Makes selective edits using pattern matching
MCP File System Server is a simple Model Context Protocol (MCP) server that provides file system operations. It enables AI assistants like Claude to read, write, update, and delete files within a specified project directory, securely containing all operations.
Install by cloning the repository, creating a virtual environment, and running pip install -e .. Start the server with python -m src.main --project-dir /path/to/project (required argument). Optionally set log level and log file path. For integration with Claude Desktop or VSCode/Cline, configure the server in the respective MCP settings JSON file.
Python is required. The recommended setup uses a virtual environment and installs dependencies via `pip install -e .`. No other external services are needed.
All paths are normalized and validated to remain within the specified project directory. Path traversal attacks are prevented, and writes are atomic to avoid data corruption. Delete operations are also restricted to the project directory.
It exposes six tools: `list_directory`, `read_file`, `save_file`, `append_file`, `delete_this_file`, and `edit_file`. Each tool has specific parameters documented in the README.
You add a configuration block to the respective settings JSON file (e.g., `claude_desktop_config.json` for Claude Desktop or `cline_mcp_settings.json` for VSCode/Cline), specifying the Python executable, script path, project directory, and optional auto-approve list.
Yes, the `autoApprove` array in the configuration allows you to skip user approval for selected tools. The README recommends auto-approving only read-only operations like `list_directory` and `read_file` for better security.
A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.

Model Context Protocol Servers
Model Context Protocol (MCP) Server for reading from Google Drive and editing Google Sheets
filesystem MCP server for accessing WSL distributions from Windows
MCP server to integrate AWS S3 and LLM
Comments