diagram_mcp

tvqphuoc01/diagram_mcp

3.3

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An MCP server that integrates with the Diagrams project for intelligent cloud service discovery and infrastructure diagram generation.

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Diagrams MCP Server

An MCP (Model Context Protocol) server that integrates with the Diagrams project for intelligent cloud service discovery and infrastructure diagram generation.

Features

šŸ” Intelligent Service Discovery

  • Search across all cloud providers (AWS, Azure, GCP, IBM, Alibaba Cloud)
  • Fuzzy search with typo tolerance and partial matching
  • Semantic search by purpose ("container orchestration" → EKS, AKS, GKE)
  • Category filtering (compute, database, network, security, storage)
  • Alias support for common service names

šŸŽØ Advanced Code Generation

  • Generate Python diagram code from natural language descriptions
  • Architecture pattern recognition and templates
  • Multi-cloud and hybrid architecture support
  • Best practices integration with security recommendations
  • Automatic component relationship mapping

šŸ–¼ļø Enhanced Image Generation

  • Create actual diagram images from generated code
  • Support for PNG, SVG, PDF, JPG formats
  • Advanced clustering and nested diagram support
  • Interactive diagram builder with step-by-step guidance
  • Custom styling and layout options

šŸ“Š Multi-Type Diagram Support

  • Infrastructure Diagrams: Traditional cloud architecture diagrams
  • Sequence Diagrams: API interactions, service communication flows
  • Flowcharts: Business processes, decision trees, workflows
  • Class Diagrams: System design, data models, component relationships
  • Network Diagrams: Connectivity, traffic flow, security boundaries
  • Data Flow Diagrams: Information processing, ETL pipelines

šŸ”„ Cross-Provider Intelligence

  • Find equivalent services across cloud providers
  • Migration assistance with cost implications
  • Feature comparison between equivalent services
  • Automated architecture migration between providers

šŸ’° Cost Analysis & Optimization

  • Real-time cost estimation for architectures
  • Monthly cost breakdowns by service
  • Cost optimization recommendations
  • Budget constraint analysis
  • Track architecture costs over time

šŸ›”ļø Security & Compliance

  • Architecture security analysis
  • Compliance checking (SOC2, PCI-DSS, HIPAA, GDPR)
  • Security vulnerability identification
  • Best practice recommendations
  • Organizational policy enforcement

šŸ¤– AI-Powered Features

  • Intelligent architecture recommendations
  • Auto-generated technical documentation
  • Performance optimization suggestions
  • Failure scenario simulation
  • Service trend analysis and insights

Installation

# Clone the repository
git clone <repository-url>
cd diagrams-mcp

# Install dependencies
uv install

# Install system requirements
pip install diagrams graphviz

System Dependencies

  • macOS: brew install graphviz
  • Ubuntu/Debian: sudo apt-get install graphviz
  • Windows: Download from graphviz.org

Usage

Starting the MCP Server

uv run ./src/diagrams_mcp/server.py

MCP Configuration

Add to your MCP client configuration:

{
  "mcpServers": {
    "diagrams": {
      "command": "uv",
      "args": ["run", "./src/diagrams_mcp/server.py"]
    }
  }
}

Available Tools

Core Tools

search_services

Search for cloud services with intelligent matching.

  • query (string): Search term (e.g., "database", "kubernetes")
  • provider (optional): Filter by provider ("aws", "azure", "gcp", "ibm", "alibabacloud")
generate_diagram_code

Generate Python diagrams code from natural language.

  • description (string): Architecture description
  • provider_preference (optional): Preferred cloud provider
  • diagram_type (optional): Diagram type ("infrastructure", "sequence", "flowchart", "class", "network", "dataflow")
generate_sequence_diagram

Generate sequence diagrams for API interactions and service flows.

  • description (string): Description of the interaction flow
  • participants (optional): List of system participants/actors
  • format (optional): Output format (default: "mermaid")
generate_flowchart

Generate flowcharts for business processes and decision flows.

  • description (string): Process or workflow description
  • process_type (optional): Type of process ("business", "technical", "decision")
  • format (optional): Output format ("mermaid", "drawio", "plantuml")
generate_class_diagram

Generate class diagrams for system design and data models.

  • description (string): System or data model description
  • entities (optional): List of main entities/classes
  • relationships (optional): Specify relationship types
find_architecture_patterns

Find suitable architecture patterns based on requirements.

  • requirements (string): System requirements and constraints
  • constraints (optional): Additional constraints

Advanced Tools

analyze_architecture

Analyze existing diagram code for optimization opportunities.

  • diagram_code (string): Python diagrams code to analyze
  • Returns security issues, cost optimizations, performance suggestions
estimate_architecture_cost

Estimate monthly costs for architecture with detailed breakdown.

  • diagram_code (string): Python diagrams code
  • region (string): Cloud region for pricing (default: "us-east-1")
  • usage_pattern (string): Usage pattern ("low", "medium", "high")
check_compliance

Check architecture against compliance frameworks.

  • diagram_code (string): Python diagrams code
  • framework (string): Compliance framework (SOC2, PCI-DSS, HIPAA, GDPR)
get_architecture_recommendations

Get AI-powered architecture recommendations.

  • requirements (string): Architecture requirements
  • constraints (optional): Budget and technical constraints
validate_architecture

Validate architecture for common issues and best practices.

  • diagram_code (string): Python diagrams code
  • validation_type (string): Validation scope (default: "comprehensive")
generate_architecture_documentation

Generate comprehensive documentation from diagrams.

  • diagram_code (string): Python diagrams code
  • doc_type (string): Documentation type ("technical", "executive", "deployment")

Examples

Basic Usage

# Search for services
search_services("container orchestration")

# Generate infrastructure diagram
generate_diagram_code(
    "Web application with load balancer, auto-scaling servers, and database",
    provider_preference="aws",
    diagram_type="infrastructure"
)

# Generate sequence diagram
generate_sequence_diagram(
    "User logs in, system validates credentials, returns JWT token, user accesses protected resource"
)

# Generate flowchart
generate_flowchart(
    "Order processing: receive order, validate payment, check inventory, fulfill order, send confirmation"
)

# Generate class diagram
generate_class_diagram(
    "E-commerce system with User, Product, Order, and Payment entities"
)

# Find architecture patterns
find_architecture_patterns("E-commerce platform with high availability")

Common Patterns

Infrastructure Diagrams:

"Users access web application through load balancer that distributes traffic to multiple servers connected to a database"

Sequence Diagrams:

"API Gateway receives request, authenticates user via Auth service, forwards to Business Logic service, queries Database, returns response"

Flowcharts:

"User registration process: collect user data, validate email, check if user exists, create account, send welcome email"

Class Diagrams:

"Social media platform with User, Post, Comment, Like entities and their relationships"

Project Structure

src/diagrams_mcp/
ā”œā”€ā”€ server.py              # Main MCP server with all tools
ā”œā”€ā”€ service_finder.py      # Intelligent service discovery
ā”œā”€ā”€ code_generator.py      # Advanced diagram generation
ā”œā”€ā”€ sequence_generator.py  # Sequence diagram generation
ā”œā”€ā”€ flowchart_generator.py # Flowchart and process diagrams
ā”œā”€ā”€ class_generator.py     # Class and entity diagrams
ā”œā”€ā”€ pattern_analyze.py     # Requirements analysis
ā”œā”€ā”€ pattern_engine.py      # Pattern matching
ā”œā”€ā”€ cost_estimator.py      # Cost analysis and optimization
ā”œā”€ā”€ compliance_checker.py  # Security and compliance
ā”œā”€ā”€ ai_recommendations.py  # AI-powered suggestions
└── __init__.py

Requirements

  • Python 3.9+
  • Diagrams package
  • Graphviz (for infrastructure diagrams)
  • Mermaid CLI (for sequence/flowcharts - optional)
  • PlantUML (for UML diagrams - optional)
  • MCP compatible client

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License

Acknowledgments