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agentseal vs filesystem

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

agentseal
by getagentseal
filesystem
by modelcontextprotocol
Stars★ 256★ 85,748
30d uses
Score4977
Official
Categories
SecurityAI / LLM ToolsDeveloper Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit1 mo agothis month

agentseal · Summary

Security toolkit for AI agents with MCP server scanning, prompt injection testing, and real-time monitoring capabilities.

filesystem · Summary

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

agentseal · Use cases

  • Security teams red-teaming AI agent prompts against 225+ adversarial attack probes
  • Organizations scanning their machines for dangerous skills and poisoned MCP configurations
  • Developers auditing live MCP servers for tool description poisoning before integration

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

agentseal · Install

# Python installation
pip install agentseal

# Node.js installation
npm install agentseal

# Basic usage
agentseal guard          # scan your machine for threats
agentseal scan           # test prompts against attacks
agentseal scan-mcp       # audit MCP servers

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.

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