filesystem vs user-feedback-mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | user-feedback-mcp by mrexodia | |
|---|---|---|
| Stars | ★ 85,748 | ★ 53 |
| 30d uses | — | — |
| Score | 77 | 36 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 14 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
user-feedback-mcp · Summary
A simple MCP server enabling human-in-the-loop workflows for AI development tools like Cline and Cursor.
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
user-feedback-mcp · Use cases
- Testing desktop applications with complex UI interactions
- Gathering human validation for automated code generation
- Creating human-in-the-loop workflows for AI-assisted development
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.
user-feedback-mcp · Install
Installation
Cline
- Install [uv](https://github.com/astral-sh/uv) globally
- Clone this repository
- Navigate to Cline's MCP Servers configuration
- Add the following to your
cline_mcp_settings.json:
{
"mcpServers": {
"github.com/mrexodia/user-feedback-mcp": {
"command": "uv",
"args": [
"--directory",
"<path_to_repo>",
"run",
"server.py"
],
"timeout": 600,
"autoApprove": [
"user_feedback"
]
}
}
}Development
uv run fastmcp dev server.pyThis opens a web interface at http://localhost:5173 for testing.