pentest-ai vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
pentest-ai by 0xSteph | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 251 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 77 |
| Official | — | ✓ |
| Categories | SecurityDeveloper ToolsOps & Infra | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
pentest-ai · Summary
Offensive-security MCP server with 205 wrapped tools, 17 specialist agents, and 60 SPA-aware probes for autonomous pentests.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
pentest-ai · Use cases
- Autonomous penetration testing via MCP-compatible clients like Claude Code
- Security testing in CI/CD pipelines with SARIF output
- Security audit reporting with proof of concepts for findings
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
pentest-ai · Install
Installation
pip install ptaiClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"pentest-ai": {
"command": "ptai",
"args": ["mcp"]
}
}
}Other MCP Clients
ptai setup --mcpfilesystem · 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.