DINO-X-MCP vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
DINO-X-MCP by IDEA-Research | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 114 | ★ 85,748 |
| 30d uses | — | — |
| Score | 44 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 7 mo ago | this month |
DINO-X-MCP · Summary
DINO-X MCP server enables LLMs with visual perception through image object detection, localization, and captioning APIs.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
DINO-X-MCP · Use cases
- Visual content analysis with object detection and localization
- Inventory management through automated object counting
- Human pose estimation for fitness and healthcare applications
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
DINO-X-MCP · Install
Installation
Option A: Official Hosted Streamable HTTP (Recommended)
Add to your MCP client config:
{
"mcpServers": {
"dinox-mcp": {
"url": "https://mcp.deepdataspace.com/mcp?key=your-api-key"
}
}
}Option B: Use the NPM package locally (STDIO)
Install Node.js first, then configure:
{
"mcpServers": {
"dinox-mcp": {
"command": "npx",
"args": ["-y", "@deepdataspace/dinox-mcp"],
"env": {
"DINOX_API_KEY": "your-api-key-here",
"IMAGE_STORAGE_DIRECTORY": "/path/to/your/image/directory"
}
}
}
}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.