django-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
django-mcp-server by gts360 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 332 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsDatabase | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
django-mcp-server · Summary
Django MCP Server enables AI agents to interact with Django applications through Model Context Protocol.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
django-mcp-server · Use cases
- Enabling Claude AI or other LLM agents to query and manipulate Django application data
- Converting existing Django Rest Framework APIs into MCP tools for AI agent consumption
- Building AI-powered interfaces for Django applications with custom toolsets
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
django-mcp-server · Install
Installation
- Install the package:
pip install django-mcp-server- Add to Django settings:
INSTALLED_APPS = [
# your apps...
'mcp_server',
]- Add URL patterns:
from django.urls import path, include
urlpatterns = [
# your urls...
path("", include('mcp_server.urls')),
]- Define MCP tools in
mcp.py:
from mcp_server import ModelQueryToolset
from .models import *
class BirdQueryTool(ModelQueryToolset):
model = BirdClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"django_mcp": {
"command": "/path/to/interpreter/python",
"args": [
"/path/to/your/project/manage.py",
"stdio_server"
]
}
}
}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.