studio vs filesystem

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

	studio by decocms	filesystem by modelcontextprotocol
Stars	★ 371	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	TypeScript	TypeScript
Last commit	this month	this month

studio · Summary

An open-source control plane for AI agents, integrating MCP tools with tracking and organization.

filesystem · Summary

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

studio · Use cases

Team-based AI agent management with shared tools and cost tracking
Building custom AI applications by composing specialized agents with MCP tools
Monitoring and governing AI agent performance and API usage across projects

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

studio · Install

Installation

Quick Start

bunx decocms

From Source

git clone https://github.com/decocms/studio.git
bun install
bun run dev

The server runs at http://localhost:3000 with both client and API server.

Docker

# With embedded PostgreSQL
docker compose -f deploy/docker-compose.yml up

# With external PostgreSQL
docker compose -f deploy/docker-compose.postgres.yml up

Claude Desktop Integration

Add this to your Claude Desktop config.json:

{
  "mcpServers": {
    "deco": {
      "command": "bun",
      "args": ["x", "decocms"]
    }
  }
}

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.