MCP File Server
local-only server
The server can only run on the client’s local machine because it depends on local resources.
Integrations
Provides file system operations for the local environment, including creating files with specified content, reading file contents, and listing directory contents with detailed information.
Integrates with Sentry for error tracking and performance monitoring of file operations, configurable through the SENTRY_DSN environment variable.
Uses Zod for schema validation of file operation parameters, ensuring proper input formatting when creating files, reading files, or listing directory contents.
MCP File Server
A Model Context Protocol (MCP) server implementation providing file system operations through a standardized interface.
Overview
The MCP File Server enables AI models to perform file operations on the local file system through a standardized API. It's built using the Model Context Protocol SDK and provides tools for reading, creating, and listing files.
Features
- Create Files: Create new files with specified content
- Read Files: Read the contents of existing files
- List Directory Contents: List files and directories with detailed information
- Performance Monitoring: Built-in Sentry integration for error tracking and performance monitoring
Installation
Usage
Start the MCP File Server:
The server communicates through stdin/stdout using the MCP protocol.
Available Tools
createfile
Creates a new file at the specified path with the provided content.
Parameters:
filePath: Path where the file should be createdcontent: Content to write to the file
Returns:
- Success message with file path and size information
readfile
Reads the content of a file at the specified path.
Parameters:
filePath: Path to the file to read
Returns:
- The content of the file
listfiles
Lists files and directories at the specified path.
Parameters:
path: Directory path to list contents from
Returns:
- A markdown table containing file names, sizes, and types
Environment Variables
SENTRY_DSN: Sentry Data Source Name for error tracking (optional)
Dependencies
@modelcontextprotocol/sdk: The MCP SDK packagezod: Schema validation@sentry/node: Error tracking and performance monitoring
Examples
Examples of how to call these tools through the MCP protocol:
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Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.