goku vs filesystem

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

	goku by jcaromiq	filesystem by modelcontextprotocol
Stars	★ 145	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	Developer ToolsMonitoringOps & Infra	File SystemDeveloper ToolsProductivity
Language	Rust	TypeScript
Last commit	this month	this month

goku · Summary

Goku is a Rust-based HTTP load testing tool with MCP server integration for automated benchmarking.

filesystem · Summary

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

goku · Use cases

Automated performance testing integrated into CI/CD pipelines
LLM-driven load testing where an AI agent can execute and analyze benchmark tests
Comparing performance before and after code changes using the compare subcommand

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

goku · Install

Installation

Automatic download

curl -sSL https://raw.githubusercontent.com/jcaromiq/goku/v3.0.0/scripts/install.sh | sh

Using Cargo

cargo install goku-bench
goku --version

MCP Server Installation

cargo install goku-mcp

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "goku": {
      "command": "goku-mcp",
      "args": []
    }
  }
}

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.