golf vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
golf by golf-mcp | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 824 | ★ 85,748 |
| 30d uses | — | — |
| Score | 55 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsOps & Infra | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
golf · Summary
Production-ready MCP server framework for building, deploying and scaling secure AI agent infrastructure with authentication, observability, and debugging capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
golf · Use cases
- Building production-ready MCP servers with minimal boilerplate code
- Implementing secure AI agents with enterprise-grade authentication
- Creating scalable agent infrastructure with built-in observability and debugging
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
golf · Install
Installation
- Install Golf using pip:
pip install golf-mcp- Initialize a new project:
golf init your-project-name- Run the development server:
cd your-project-name
golf build dev
golf runFor Claude Desktop integration, add to claude_desktop_config.json:
{
"mcpServers": {
"golf": {
"command": "python",
"args": ["-m", "golf.cli", "run"],
"env": {}
}
}
}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.