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filesystem vs AgentCrew

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

filesystem
by modelcontextprotocol
AgentCrew
by saigontechnology
Stars★ 85,748★ 200
30d uses
Score7749
Official
Categories
File SystemDeveloper ToolsProductivity
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptPython
Last committhis monththis month

filesystem · Summary

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

AgentCrew · Summary

AgentCrew is a Python-based multi-agent system that supports MCP for specialized AI collaboration.

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

AgentCrew · Use cases

  • Code review and security analysis in development workflows
  • Research projects with specialized agent roles for information gathering
  • Automation tasks through coordinated agent actions

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.

AgentCrew · Install

Installation

**macOS / Linux**

curl -LsSf https://agentcrew.dev/install.sh | bash

**Windows**

powershell -ExecutionPolicy ByPass -c "irm https://agentcrew.dev/install.ps1 | iex"

**pip (any platform)**

pip install agentcrew-ai

Configuration

Add your API key via environment variable:

export ANTHROPIC_API_KEY="sk-ant-..."

Or create a config file at ~/.AgentCrew/config.json

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