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django-mcp-server vs filesystem

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django-mcp-server
by gts360
filesystem
by modelcontextprotocol
Stars★ 332★ 85,748
30d uses
Score5077
Official
Categories
Developer ToolsAI / LLM ToolsDatabase
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit2 mo agothis 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

  1. Install the package:
pip install django-mcp-server
  1. Add to Django settings:
INSTALLED_APPS = [
    # your apps...
    'mcp_server',
]
  1. Add URL patterns:
from django.urls import path, include

urlpatterns = [
    # your urls...
    path("", include('mcp_server.urls')),
]
  1. Define MCP tools in mcp.py:
from mcp_server import ModelQueryToolset
from .models import *

class BirdQueryTool(ModelQueryToolset):
    model = Bird

Claude 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.

Comparison generated from public README + GitHub signals. Last updated automatically.