広告掲載
MCP.so
ログイン

Django MCP Server

@omarbenhamid

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

作者

omarbenhamid

Django MCP Server について

Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI

#django#ai#agentic-ai#modelcontextprotocol

Django MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "django-mcp-server": {
      "command": "python",
      "args": [
        "manage.py",
        "mcp_inspect"
      ]
    }
  }
}

Django MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Django MCP Server?

Django MCP Server is an implementation of the Model Context Protocol (MCP) for Django. It enables MCP clients and AI agents to interact with any Django application by exposing Django models and custom logic as MCP tools through a declarative, Django-style interface.

How to use Django MCP Server?

Install via pip (pip install django-mcp-server), add mcp_server to INSTALLED_APPS, include its URLs in your project’s urls.py, then define tools by subclassing ModelQueryToolset or MCPToolset in a mcp.py file. The MCP endpoint is served at /mcp by default. Use python manage.py mcp_inspect to verify tool declarations.

Key features of Django MCP Server

  • Expose Django models as MCP tools in two lines of code.
  • Publish custom Python methods as MCP tools via MCPToolset.
  • Convert Django Rest Framework views to MCP tools with one annotation.
  • Works on both WSGI and ASGI without infrastructure changes.
  • Supports session management via Django sessions (stateless option available).
  • Integrates with Claude AI, Google ADK, and any MCP client.

Use cases of Django MCP Server

  • Allow AI agents to query or update Django models through natural language.
  • Add MCP endpoints to an existing Django app without rewriting logic.
  • Expose DRF CRUD operations to MCP clients for automated data management.
  • Enable chatbots to send emails or perform custom business logic via Django.

よくある質問

1

What are the runtime requirements?

Python 3.x, Django (version supported shown on PyPI), and optionally Django Rest Framework for DRF tool integration. No additional infrastructure changes needed.

2

How do I secure the MCP endpoint?

Set `DJANGO_MCP_AUTHENTICATION_CLASSES` in `settings.py` to use DRF authentication classes. For production or public data, consider OAuth2 integration with django-oauth-toolkit and its DCR add-on.

3

Does Django MCP Server work with both WSGI and ASGI?

Yes, it works on both WSGI and ASGI without any infrastructure changes. The server manages state independently of the deployment model.

4

Can I expose existing DRF views as MCP tools?

Yes, use `drf_publish_create_mcp_tool`, `drf_publish_update_mcp_tool`, `drf_publish_delete_mcp_tool`, or `drf_publish_list_mcp_tool` annotations or method calls on your DRF views. Note that built-in authentication and pagination are disabled when used this way.

5

How do I test the MCP tools during development?

Use the management command `python manage.py mcp_inspect` to list declared tools. You can also connect with the MCP Python SDK via `streamablehttp_client` or test in Claude Desktop using a stdio configuration.

コメント

「開発者ツール」の他のコンテンツ

Kaiva Bridge

Kaiva Bridge turns your API, database or documents into a managed MCP server for Claude, ChatGPT, Cursor and VS Code. Point it at an OpenAPI or Swagger spec, an API docs link, a cURL command, a Postman collection, a Grap

GripForge

gripforgeai

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U

1

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

32

Foremerge

naw103

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

50
広告掲載