A secure, sandboxed Model Context Protocol server that enables AI agents to perform file and directory operations within explicitly allowed paths.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install filesystem-mcp
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install filesystem-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Filesystem MCP Server?
The Filesystem MCP Server is a reference implementation of the Model Context Protocol designed to provide AI agents with safe, controlled access to local file systems. By implementing a security-first design, it ensures that agents can only interact with directories specified by the user, preventing unauthorized access to sensitive system files. This skill is a fundamental building block for developers looking to expand the capabilities of their Openclaw Skills by allowing agents to read documentation, write code, and organize project structures autonomously.
This implementation uses standard Node.js modules, requiring no external APIs or rate-limited services. Whether you are building a coding assistant or an automated research tool, this server provides the necessary tools to bridge the gap between LLM reasoning and local file manipulation.
Filesystem MCP Server Use Cases
- Content Management: Automatically generating and saving blog posts, reports, or documentation into organized project folders.
- AI Coding Assistants: Enabling agents to read existing source code, generate new components, and update configuration files within a development workspace.
- Automated Log Analysis: Scanning application logs to identify errors, summarize issues, and generate diagnostic reports.
- Data Processing: Reading local CSV or JSON datasets for analysis and writing back processed results or visualizations.
- File System Organization: Categorizing messy directories by file type and moving items into a structured hierarchy.
How Filesystem MCP Server Works
- Configuration: The user defines allowed directories and permission levels (read-only or full access) within the MCP client configuration.
- Initialization: The MCP client launches the server via npx or node, establishing a secure communication channel.
- Request Validation: When an agent requests a file operation, the server validates the path against the allowed sandbox to prevent directory traversal attacks.
- Tool Execution: The server executes the requested operation (e.g., read_file, write_file, or search_files) using native Node.js filesystem APIs.
- Response Delivery: The result of the operation, such as file content or a directory listing, is sent back to the agent through the protocol.
Filesystem MCP Server Setup
Install the official reference implementation using npm:
npm install -g @modelcontextprotocol/server-filesystem
Alternatively, build from the source repository:
git clone https://github.com/modelcontextprotocol/servers
cd servers/src/filesystem
npm install
npm run build
Configure your MCP client by adding the server and defining allowed paths:
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/your/workspace"
]
}
}
}
Filesystem MCP Server Data Schema & Taxonomy
The skill interacts with the local filesystem and returns structured metadata for various operations. Below is the metadata taxonomy used:
| Property | Description |
|---|---|
| File Type | Identified as file, directory, or symlink. |
| Timestamps | Includes creation time and last modified time. |
| File Size | Reported in bytes for all file operations. |
| Search Results | Returns arrays of file paths matching glob or regex patterns. |
| Permissions | Reports current read/write status of the file within the OS. |
Filesystem MCP Server Advanced Features
- Path Sanitization: Built-in protection against directory traversal patterns to ensure agents never leave the designated workspace.
- Streaming Support: Efficiently handles large files over 10MB using streaming to prevent memory exhaustion during read operations.
- Regex Search: Advanced file content searching using regular expressions across entire directory trees for deep log or code analysis.
- Read-Only Mode: Ability to restrict the server to read-only access for sensitive documentation folders using the --read-only flag.
- Atomic Operations: Supports safe file editing and writing to ensure data integrity during concurrent agent workflows.
SKILL.md
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