FileSystem MCP Server

A secure Model Context Protocol (MCP) server that enables AI assistants (such as Claude) to perform file operations on the local filesystem within a specified project directory. It is designed for safe, controlled AI integration with robust security controls and path validation.

• Source: GitHub - MarcusJellinghaus/mcp_server_filesystem
• Category: file-management-mcp-servers
• Tags: filesystem, file-management, ai-integration, security
• License: MIT

Features

• Project Directory Restriction: All operations are limited to a user-specified project directory; attempts to access files outside this directory are blocked.
• List Directory: List all files and directories within the project directory (filtered by .gitignore and excludes .git folders).
• Read File: Read contents of a file (relative to the project directory).
• Save File: Write content atomically to a file, creating or overwriting as needed.
• Append File: Append content to the end of an existing file.
• Delete File: Permanently remove a file from the filesystem (irreversible, restricted to project directory).
• Edit File: Selectively edit files using advanced pattern matching, with features such as:
  • Line-based and multi-line content matching
  • Whitespace normalization
  • Indentation preservation
  • Fuzzy matching with confidence scoring
  • Multiple simultaneous edits
  • Git-style diff output
• Structured Logging:
  • Human-readable logs to console
  • Optional structured JSON logs to file
  • Function call tracking with parameters, timing, and results
  • Automatic error context capture
  • Configurable log levels (DEBUG, INFO, WARNING, ERROR, CRITICAL)
• Security:
  • Path normalization and validation to prevent path traversal attacks
  • Atomic file writes to prevent corruption
  • Delete operations restricted for safety
• Integration:
  • Compatible with Claude Desktop and other MCP-compatible assistants
  • Can be used with MCP Inspector for debugging and development

Installation & Usage

• Clone the repository and install with Python (see details in the README).
• Run the server specifying the project directory and optional logging parameters.
• Integrate with Claude Desktop or test/debug with MCP Inspector.

Pricing

• Open Source / Free under the MIT License. No paid plans.

Links

• Repository
• MCP Python SDK
• MCP Python Code Checker