EDDI vs filesystem

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

	EDDI by labsai	filesystem by modelcontextprotocol
Stars	★ 353	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsOps & Infra	File SystemDeveloper ToolsProductivity
Language	Java	TypeScript
Last commit	this month	this month

EDDI · Summary

EDDI is a Java-based multi-agent orchestration middleware with native MCP support for production-grade AI systems.

filesystem · Summary

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

EDDI · Use cases

Enterprise multi-agent system orchestration with automatic routing based on context and intent
Compliance-governed AI deployment with audit trails for regulated industries
Slack-integrated AI agents for team collaboration with multi-agent debate capabilities

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

EDDI · Install

Quick Install

The fastest way to get EDDI running is the one-command installer:

# Linux / macOS / WSL2
curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash

# Windows (PowerShell)
Invoke-WebRequest -UseBasicParsing -Uri "https://raw.githubusercontent.com/labsai/EDDI/main/install.ps1" -OutFile "install.ps1"
Unblock-File .\install.ps1
.\install.ps1

MCP Configuration

To use with Claude Desktop, add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "eddi": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "labsai/eddi", "mcp"]
    }
  }
}

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.