Skip to main content

Full MCP server implementation for Django. Expose tools and resources via the Model Context Protocol.

Project description

mcp-django-server

Full MCP (Model Context Protocol) server implementation for Django. Expose tools and resources to AI agents with simple decorators.

Features

  • 🚀 Simple decorators - @mcp_tool, @mcp_resource, @mcp_prompt
  • 🔄 Auto-discovery - Automatically finds mcp_tools.py in all Django apps
  • 📝 Type-safe - Generates JSON Schema from Python type hints
  • 🎯 MCP compliant - Full JSON-RPC 2.0 implementation (spec 2025-06-18)
  • 🔒 Custom auth - Plug in any token-based authentication backend
  • 👤 User context - Authenticated user injected automatically into tools
  • 🔧 Zero config - Works out of the box

Installation

pip install mcp-django-server

Quick Start

1. Add to INSTALLED_APPS

# settings.py
INSTALLED_APPS = [
    ...
    'mcp_server',
]

# Optional configuration
MCP_SERVER_NAME = "My Django MCP Server"
MCP_SERVER_VERSION = "1.0.0"

2. Include URLs

# urls.py
from django.urls import path, include

urlpatterns = [
    ...
    path('', include('mcp_server.urls')),
]

3. Create tools

Create mcp_tools.py in any Django app:

# myapp/mcp_tools.py
from mcp_server import mcp_tool, mcp_resource
from .models import Product

@mcp_tool(
    name="search_products",
    description="Search products by name and category"
)
def search_products(query: str, category: str = None, limit: int = 10):
    """Search products - automatically exposed via /mcp/ endpoint."""
    qs = Product.objects.filter(name__icontains=query)
    if category:
        qs = qs.filter(category=category)
    return [
        {"id": p.id, "name": p.name, "price": str(p.price)}
        for p in qs[:limit]
    ]

@mcp_resource(
    uri="catalog://products/{id}",
    name="Product",
    description="Full product details",
    mime_type="application/json"
)
def get_product(id: int):
    """Get product by ID - exposed as MCP resource."""
    p = Product.objects.get(pk=id)
    return {
        "id": p.id,
        "name": p.name,
        "description": p.description,
        "price": str(p.price)
    }

4. Test it

# Initialize
curl -X POST http://localhost:8000/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","clientInfo":{"name":"test"}}}'

# List tools
curl -X POST http://localhost:8000/mcp/ \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

# Call tool
curl -X POST http://localhost:8000/mcp/ \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"search_products","arguments":{"query":"laptop"}}}'

Authentication

Custom auth backend

Set MCP_AUTH_BACKEND in settings.py to require token authentication on every MCP request.

# settings.py
MCP_AUTH_BACKEND = 'myapp.mcp.auth.TokenAuth'

The class must implement authenticate(token: str) -> User | None:

# myapp/mcp/auth.py
class TokenAuth:
    def authenticate(self, token):
        from django.contrib.auth import get_user_model
        User = get_user_model()
        try:
            return User.objects.get(mcp_token=token)
        except User.DoesNotExist:
            return None

When configured, every request must include Authorization: Bearer <token>. A missing or invalid token returns HTTP 401.

User context in tools

If your tool function declares a user parameter, the authenticated user is injected automatically. The user parameter is excluded from the MCP input schema (not visible to clients).

@mcp_tool(description="Get my listings")
def get_my_listings(user):
    return list(Listing.objects.filter(owner=user).values())

Conditional tools

Use condition= to expose a tool only when a predicate on the user is satisfied. The tool is hidden from tools/list and blocked in tools/call when the condition returns False.

@mcp_tool(
    description="Publish a listing",
    condition=lambda user: hasattr(user, 'seller_profile')
)
def publish_listing(user, listing_id: int):
    ...

API Reference

@mcp_tool

Register a function as an MCP tool.

@mcp_tool(name="tool_name", description="Tool description")
def my_tool(param1: str, param2: int = 10):
    return {"result": "value"}

Parameters:

  • name (str, optional): Tool name. Defaults to function name.
  • description (str): Tool description for AI agents.
  • condition (callable, optional): (user) -> bool. When set, the tool is only listed/callable when the condition is satisfied for the current user.

Type Hints:

  • Function type hints are automatically converted to JSON Schema
  • Supported types: str, int, float, bool, list, dict
  • Parameters without defaults are marked as required
  • The user parameter (if present) is injected by the auth layer and excluded from the schema

@mcp_resource

Register a function as an MCP resource.

@mcp_resource(
    uri="catalog://items/{id}",
    name="Item",
    description="Item details",
    mime_type="application/json"
)
def get_item(id: int):
    return {"id": id, "data": "..."}

Parameters:

  • uri (str): Resource URI template with {param} placeholders
  • name (str, optional): Resource name. Defaults to function name.
  • description (str): Resource description
  • mime_type (str): MIME type. Default: "application/json"

@mcp_prompt

Register a function as an MCP prompt template.

@mcp_prompt(
    name="analyze",
    description="Analyze data",
    arguments=[
        {"name": "data_id", "description": "Data ID", "required": True}
    ]
)
def analyze_prompt(data_id: int):
    return f"Analyze data with ID: {data_id}"

MCP Endpoints

Once installed, your Django app exposes:

  • POST /mcp/ - Main MCP JSON-RPC 2.0 endpoint

Supported methods:

  • initialize - Initialize MCP session
  • tools/list - List all registered tools
  • tools/call - Execute a tool
  • resources/list - List all resources
  • resources/read - Read a resource
  • prompts/list - List all prompts
  • prompts/get - Get a prompt

Integration with django-mcp-discovery

If you have django-mcp-discovery installed, this package automatically updates the /.well-known/mcp-server manifest with registered tools.

Examples

Django ORM Tool

@mcp_tool(description="Get user by email")
def get_user(email: str):
    from django.contrib.auth import get_user_model
    User = get_user_model()
    user = User.objects.get(email=email)
    return {
        "id": user.id,
        "email": user.email,
        "name": user.get_full_name()
    }

External API Tool

@mcp_tool(description="Get weather forecast")
def get_weather(city: str):
    import requests
    response = requests.get(f"https://api.weather.com/{city}")
    return response.json()

File Resource

@mcp_resource(
    uri="files://{path}",
    description="Read file content",
    mime_type="text/plain"
)
def read_file(path: str):
    with open(path, 'r') as f:
        return f.read()

License

MIT

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_django_server-0.4.1.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_django_server-0.4.1-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file mcp_django_server-0.4.1.tar.gz.

File metadata

  • Download URL: mcp_django_server-0.4.1.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for mcp_django_server-0.4.1.tar.gz
Algorithm Hash digest
SHA256 5cab080b89dac68469c8ef08fad7c9ffe40a4c772e073ec4dd435709d0fc5f08
MD5 cb31fa5787928f1d4258cb91396a88ea
BLAKE2b-256 444e997ee10ed0088e73b8cdcffd2b075337da834df7b45a8d7ce5f7d17b4055

See more details on using hashes here.

File details

Details for the file mcp_django_server-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_django_server-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c25188725c019d926c12a60f16ff2b680ae4c4d7e2decfad3178a9d6290eb518
MD5 160c3e4f6c3ede7ed80baf2c2de2ce40
BLAKE2b-256 3d4a9af366bb6ded3dcfc6e6beb431267ad884b9f8084e1d95c3fa51c3eef709

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page