MCP-Defender vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
MCP-Defender by MCP-Defender | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 252 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | SecurityDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 8 mo ago | this month |
MCP-Defender · Summary
Desktop app that scans and blocks malicious MCP traffic in AI apps like Cursor and Claude.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
MCP-Defender · Use cases
- Protecting AI development environments from malicious MCP tool calls
- Monitoring and controlling MCP traffic in enterprise AI deployments
- Providing security transparency for MCP-based interactions in AI 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
MCP-Defender · Install
Installation
Download the latest release for Mac from the [GitHub releases page](https://github.com/MCP-Defender/MCP-Defender/releases/latest)
Alternatively, clone and run locally:
# Install dependencies
npm install
# Start app
npm startConfiguration
MCP Defender works automatically with supported AI applications (Cursor, Claude, VS Code, Windsurf). No manual configuration is required.
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.