This MCP server enables secure interaction with the local filesystem, supporting listing, reading, writing, and deleting files and directories through MCP tools.
Added on:
Created by:
Apr 16 2025
This MCP server enables secure interaction with the local filesystem, supporting listing, reading, writing, and deleting files and directories through MCP tools.
Added on:
Created by:
Apr 16 2025
Loag
Featured
What is Model Context Protocol (MCP) Server - Filesystem Implementation?
This MCP server implementation in Go allows developers to access and manipulate the local filesystem securely using the MCP standard. It offers essential functions including listing directory contents, reading files, writing data, and deleting files or folders. The server ensures basic security measures such as path sanitization, making it suitable for educational and development purposes. It exposes API endpoints for discovering capabilities, calling tools, and managing resources, enabling integration with AI-powered tools and other systems requiring filesystem access.
Who will use Model Context Protocol (MCP) Server - Filesystem Implementation?
- Developers
- AI tool integrators
- Educators
- Students learning MCP protocols
How to use the Model Context Protocol (MCP) Server - Filesystem Implementation?
- Step1: Clone the repository from GitHub
- Step2: Install dependencies with 'go mod tidy'
- Step3: Run the server using 'go run main.go'
- Step4: Use API endpoints to interact with the filesystem via tools
Model Context Protocol (MCP) Server - Filesystem Implementation's Core Features & Benefits
The Core Features
- lists the contents of a directory
- reads file contents
- writes data to a file
- deletes files or directories
The Benefits
- Secure filesystem access
- Standardized interface via MCP
- Supports common file operations
- Educational example of MCP implementation
Model Context Protocol (MCP) Server - Filesystem Implementation's Main Use Cases & Applications
- Integrating local filesystem access into AI workflows
- Creating educational tools on MCP protocols
- Developing secure file management systems
- Building AI-assisted file explorers
FAQs of Model Context Protocol (MCP) Server - Filesystem Implementation
Developer
- Loag
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
File Systems
Builds supplemental UI and resource files for client apps, enabling rich media asset integration with visual rendering.
Utilizes Jupyter notebooks to interact with MCP servers, filesystems, and memory for complex automation and data tasks.
Enables AI agents to securely read PDF files and extract text, metadata, and page counts via Node.js/TypeScript.
A set of tools for managing and analyzing MCP PDF documents with server and client components.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A Rust-based client for Minecraft patching, enabling file updates and game modifications efficiently.
Provides secure, relative filesystem access for AI agents like Cline and Claude via Node.js server.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.
A Node.js MCP server for reading, listing, and searching Excel files within specified directories.
A server for managing plugin communication in Alist, supporting functions like plugin integration and data exchange.