filesystem vs mcp-image

Side-by-side comparison to help you pick between these two MCP servers.

	filesystem by modelcontextprotocol	mcp-image by shinpr
Stars	★ 85,748	★ 110
30d uses	—	—
Score	77	47
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	AI / LLM ToolsMediaProductivity
Language	TypeScript	TypeScript
Last commit	this month	this month

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

mcp-image · Summary

MCP server for AI image generation with automatic prompt optimization using Gemini or OpenAI models.

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

mcp-image · Use cases

Generate images for creative projects without prompt engineering knowledge
Create consistent character designs across multiple visual assets
Produce high-quality images for professional content creation with minimal effort

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

mcp-image · Install

Installation

Prerequisites

Node.js 22 or higher
Gemini API key (from Google AI Studio) or OpenAI API key
MCP-compatible AI tool (Cursor, Claude Code, Codex)

Quick Start

For Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-image": {
      "command": "npx",
      "args": ["-y", "mcp-image"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here",
        "IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
      }
    }
  }
}

For Cursor

Add to your Cursor settings (global or project-specific):

{
  "mcpServers": {
    "mcp-image": {
      "command": "npx",
      "args": ["-y", "mcp-image"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here",
        "IMAGE_OUTPUT_DIR": "/absolute/path/to/images"
      }
    }
  }
}

For Codex

Add to ~/.codex/config.toml:

[mcp_servers.mcp-image]
command = "npx"
args = ["-y", "mcp-image"]

[mcp_servers.mcp-image.env]
GEMINI_API_KEY = "your_gemini_api_key_here"
IMAGE_OUTPUT_DIR = "/absolute/path/to/images"

Comparison generated from public README + GitHub signals. Last updated automatically.