Why Octofs?

Your AI coding assistant (Cursor, Claude, Windsurf, etc.) is smart—but it's blind to your filesystem. Octofs bridges that gap, giving your AI:

• Eyes — Read files, search content, explore directories
• Hands — Create, edit, batch-modify files atomically
• Context — Execute commands, manage working directories

┌─────────────────────────────────────────────────────────────┐
│  You: "Refactor all error handling to use anyhow::Context" │
├─────────────────────────────────────────────────────────────┤
│  AI without Octofs:                                         │
│  • "I can't see your project structure"                     │
│  • "Please paste the relevant files"                        │
│  • *Wastes 10 minutes on back-and-forth*                    │
├─────────────────────────────────────────────────────────────┤
│  AI with Octofs:                                            │
│  • Scans entire codebase in milliseconds                    │
│  • Finds all 47 error handling patterns                     │
│  • Suggests atomic batch edits                              │
│  • Applies changes with your approval                       │
└─────────────────────────────────────────────────────────────┘

What Makes It Different

Installation

From Source

Requires Rust 1.92+.

# Clone and build
git clone https://github.com/muvon/octofs
cd octofs
cargo build --release

# Binary will be at ./target/release/octofs
# Optionally install globally
cargo install --path .

Pre-built Binaries

Download from GitHub Releases for your platform.

Quick Start

1. Configure Your AI Assistant

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "octofs": {
      "command": "/path/to/octofs"
    }
  }
}

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "octofs": {
      "command": "/path/to/octofs"
    }
  }
}

Windsurf (~/.windsurf/mcp.json):

{
  "mcpServers": {
    "octofs": {
      "command": "/path/to/octofs"
    }
  }
}

2. Restart Your AI Assistant

The MCP server will start automatically when your AI assistant connects.

3. Try It

Ask your AI assistant to:

• "Show me the project structure"
• "Read the main.rs file"
• "Search for all uses of unwrap() in the codebase"
• "Create a new file called test.rs"

Features

📁 Filesystem Operations

• View Files & Directories — Read a single file (call view in parallel for several), list directories with glob patt

... View full README on GitHub