Изображение создано с помощью Blueprint MCP, Nano Banana Pro и сервера Arcade MCP.

Генерация диаграмм для понимания кодовых баз и архитектуры системы с помощью Nano Banana Pro.

Работает с экосистемой Arcade: Объединяйте с HubSpot, Google Drive, GitHub и другими инструментами Arcade для извлечения данных из ваших систем и визуализации их в виде диаграмм.

Подготовка

1. Зарегистрируйтесь в Arcade

https://arcade.dev

2. Зависимости установки

3. Войти в аркаду

4. Получите ключ API Google AI Studio

https://aistudio.google.com/ → Создать ключ API

5. Секрет магазина в аркаде

6. Развернуть сервер

Клонируйте этот репозиториум:

7. Создать Gateway

1. Перейти в https://api.arcade.dev/dashboard
2. Нажмите «Шлюзы» → «Создать шлюз»
3. Добавьте ваш развернутый сервер architect_mcp в шлюз

8. Настроить курсор

1. В курсоре: Настройки → MCP
2. Добавьте URL вашего шлюза Arcade
3. Перезапустить курсор

Использование

Инструменты

• start_diagram_job - Старт генерации, возвращает ID задания
• check_job_status - Проверьте, завершено ли
• download_diagram - Скачать PNG как base64

Примеры подсказок

Визуализировать архитектуру кода:

Потоки API документов:

Объясните процессы:

Понимание конвейеров данных:

Blueprint MCP

Image generated using Blueprint MCP, Nano Banana Pro, and Arcade MCP server.

Diagram generation for understanding codebases and system architecture using Nano Banana Pro.

Works with Arcade’s ecosystem: Combine with HubSpot, Google Drive, GitHub, and other Arcade tools to extract data from your systems and visualize it as diagrams.

Setup

1. Sign up for Arcade

https://arcade.dev

2. Install Dependencies

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install Arcade CLI
pip install arcade-mcp

3. Login to Arcade

arcade-mcp login

4. Get Google AI Studio API Key

https://aistudio.google.com/ → Create API key

5. Store Secret in Arcade

arcade-mcp secret set GOOGLE_API_KEY="your_api_key_here"

6. Deploy Server

Clone this repo, then:

cd blueprint-mcp
arcade-mcp deploy

7. Create Gateway

1. Go to https://api.arcade.dev/dashboard
2. Click “Gateways” → “Create Gateway”
3. Add your deployed architect_mcp server to the gateway

8. Configure Cursor

1. In Cursor: Settings → MCP
2. Add your Arcade gateway URL
3. Restart Cursor

Usage

Tools

• start_diagram_job - Start generation, returns job ID
• check_job_status - Check if complete
• download_diagram - Download PNG as base64

Example Prompts

Visualize code architecture:

Analyze the authentication module in src/auth/ and create an 
architecture diagram showing the components and their relationships.

Document API flows:

Create a sequence diagram showing the OAuth login flow based on 
the code in src/auth/oauth.py

Explain processes:

Generate a flowchart explaining how our payment processing works,
showing the steps from checkout to confirmation.

Understand data pipelines:

Create a data flow diagram for our ETL pipeline showing sources,
transformations, and destinations based on the data/ directory.

Combine with other Arcade tools:

Pull the latest deal from HubSpot for "Acme Corp" and create an
architecture diagram of the proposed solution.

Read the system design doc from Google Drive and generate a 
visual architecture diagram from it.

How It Works

1. start_diagram_job → Returns job ID instantly
2. Wait 30 seconds (Nano Banana Pro generates)
3. check_job_status → Check if “Complete”
4. download_diagram → Get base64 PNG
5. Agent decodes and saves to workspace

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Example Diagrams

Enterprise Architecture - Banking Use Case

Cursor Prompt:

Can you understand Arcade deeply and create an architecture diagram for someone 
who's new and wants to understand Arcade in the broader AI, LLM, and agent landscape? 
I want this architecture to fit into a realistic enterprise scenario like a bank, 
showcasing how Arcade MCP Runtime fits into their broader architecture.