Filesystem MCP Server
Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
Features
- Read/write files
- Create/list/delete directories
- Move files/directories
- Search files
- Get file metadata
Note: The server will only allow operations within directories specified via args.
API
Resources
file://system: File system operations interface
Tools
-
read_file
- Read complete contents of a file
- Input:
path(string) - Reads complete file contents with UTF-8 encoding
-
read_multiple_files
- Read multiple files simultaneously
- Input:
paths(string[]) - Failed reads won't stop the entire operation
-
write_file
- Create new file or overwrite existing (exercise caution with this)
- Inputs:
path(string): File locationcontent(string): File content
-
edit_file
- Make selective edits using advanced pattern matching and formatting
- Features:
- Line-based and multi-line content matching
- Whitespace normalization with indentation preservation
- Multiple simultaneous edits with correct positioning
- Indentation style detection and preservation
- Git-style diff output with context
- Preview changes with dry run mode
- Inputs:
path(string): File to editedits(array): List of edit operationsoldText(string): Text to search for (can be substring)newText(string): Text to replace with
dryRun(boolean): Preview changes without applying (default: false)
- Returns detailed diff and match information for dry runs, otherwise applies changes
- Best Practice: Always use dryRun first to preview changes before applying them
-
create_directory
- Create new directory or ensure it exists
- Input:
path(string) - Creates parent directories if needed
- Succeeds silently if directory exists
-
list_directory
- List directory contents with [FILE] or [DIR] prefixes
- Input:
path(string)
-
move_file
- Move or rename files and directories
- Inputs:
source(string)destination(string)
- Fails if destination exists
-
search_files
- Recursively search for files/directories
- Inputs:
path(string): Starting directorypattern(string): Search patternexcludePatterns(string[]): Exclude any patterns. Glob formats are supported.
- Case-insensitive matching
- Returns full paths to matches
-
get_file_info
- Get detailed file/directory metadata
- Input:
path(string) - Returns:
- Size
- Creation time
- Modified time
- Access time
- Type (file/directory)
- Permissions
-
list_allowed_directories
- List all directories the server is allowed to access
- No input required
- Returns:
- Directories that this server can read/write from
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
Note: you can provide sandboxed directories to the server by mounting them to /projects. Adding the ro flag will make the directory readonly by the server.
Docker
Note: all directories must be mounted to /projects by default.
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/Users/username/Desktop,dst=/projects/Desktop",
"--mount", "type=bind,src=/path/to/other/allowed/dir,dst=/projects/other/allowed/dir,ro",
"--mount", "type=bind,src=/path/to/file.txt,dst=/projects/path/to/file.txt",
"mcp/filesystem",
"/projects"
]
}
}
}
NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/Users/username/Desktop",
"/path/to/other/allowed/dir"
]
}
}
}
Build
Docker build:
docker build -t mcp/filesystem -f src/filesystem/Dockerfile .
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Recommend MCP Servers 💡
basic-memory
Basic Memory is a local-first knowledge base that integrates with Large Language Models (LLMs) via the Model Context Protocol (MCP), allowing AI assistants to read and write to your local Markdown files, enabling persistent memory for conversations and structured knowledge management.
conductor-mcp
An MCP server that enables AI agents to interact with Orkes Conductor for workflow creation, execution, and analysis.
zhsama/duckduckgo-mcp-server
A TypeScript-based MCP server providing DuckDuckGo search functionality with rate limiting and error handling.
AojdevStudio/open-dental-mcp
MCP server for querying OpenDental documentation using natural language questions via Qdrant vector database
BloodHound-MCP
An MCP server enabling LLMs to interact with and analyze AD/AAD environments via natural language queries using BloodHound data.
OvertliDS/mcp-searxng-enhanced
An enhanced MCP server for SearXNG providing category-aware web search, web scraping, and date/time tools.