MCP Diagram Server
Generates Mermaid diagrams, supporting a wide range of diagram types such as flowcharts, sequence diagrams, mind maps, Gantt charts, class diagrams, and more.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Diagram Serverturn this JSON into a flowchart: {"users": ["get", "post"]}"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Diagram Server 📊
A powerful Model Context Protocol (MCP) server for creating, manipulating, and managing Mermaid diagrams with automatic saving and integrated multi-format support. Built with enterprise-grade persistence and designed for seamless AI workflow integration.
🌟 Key Features
🔄 Automatic Saving & Library System
Auto-save on creation/modification - Never lose your work
Persistent diagram library stored in
/diagramsdirectoryMetadata tracking with creation/modification timestamps
Instant load from disk - Diagrams persist across sessions
📁 Integrated Multi-Format Support
JSON → Flowcharts (hierarchical structure visualization)
CSV → Organizational/Relationship charts
Python Code → Class diagrams (automatic AST parsing)
Markdown → Mind maps (hierarchical content mapping)
Plain Text → Structured diagrams (with indentation detection)
🎨 Rich Diagram Types
Flowcharts - Process flows and decision trees
Sequence Diagrams - Interaction sequences
Mind Maps - Concept organization and brainstorming
Gantt Charts - Project timelines and scheduling
Class Diagrams - Object-oriented system design
Entity Relationship - Database schema visualization
User Journey Maps - Experience flow mapping
Git Graphs - Version control visualization
Pie Charts - Data visualization
State Diagrams - State machine modeling
🛠 Professional Tools
Template Library with 8+ pre-built diagram templates
Custom save locations in addition to auto-saving
Smart format detection with conversion recommendations
Resource access for MCP integration
Background processing with robust task management
Note: If there is a syntax error converting a diagram remove any () in the underlined code error.



🚀 Quick Start- Simply clone the repository and add the following
Claude Desktop Configuration
Add to your Claude Desktop MCP configuration:
{
"mcpServers": {
"diagram-server": {
"command": "uv",
"args": [
"--directory",
"/your-path-to/mcp-diagram-server",
"run",
"main.py"
],
"env": {
"LOG_LEVEL": "INFO"
}
}
}
}Installation- will auto-install with config
Clone the repository:
cd /mcp-diagram-serverSet up the Python environment:
uv venv --python 3.12 --seed
source .venv/bin/activate
uv add -e .Optional - Install Playwright for rendering:
uv add playwright
uv run playwright install chromium📚 Available MCP Tools
Core Diagram Operations
create_diagram- Create new diagrams with optional templatesupdate_diagram- Modify existing diagram content (auto-saves)get_diagram- Retrieve diagrams from memory or disklist_diagrams- Browse your diagram librarydelete_diagram- Remove diagrams from memory
Format Conversion Tools
convert_format_to_diagram- Universal format converter with auto-detectionjson_to_flowchart- Convert JSON structures to flowchartscsv_to_org_chart- Convert CSV data to organizational/relationship chartspython_to_class_diagram- Convert Python code to class diagramsmarkdown_to_mindmap- Convert structured markdown to mind mapsdetect_file_format- Smart format detection with conversion recommendations
Library Management
save_diagram- Manual save to custom locationslist_templates- Browse available diagram templatesAuto-saving - Automatic persistence (always active)
💡 Usage Examples
Universal Format Conversion
convert_format_to_diagram(
content='{"api": {"users": ["get", "post"], "orders": ["get", "create"]}}',
target_type="flowchart",
name="APIStructure"
)Result: Auto-saved flowchart showing API structure hierarchy
JSON to Flowchart
json_to_flowchart(
json_content='{"system": {"frontend": "React", "backend": "FastAPI", "db": "PostgreSQL"}}',
name="SystemArchitecture"
)Result: Visual flowchart of system components and relationships
CSV to Organizational Chart
csv_to_org_chart(
csv_content="Name,Role,Department\nAlice,Director,Engineering\nBob,Engineer,Engineering",
name="TeamStructure"
)Result: Organizational chart showing team hierarchy
Python Code to Class Diagram
python_to_class_diagram(
python_code='''
class DatabaseManager:
def __init__(self):
self.connection = None
def connect(self):
pass
def query(self, sql):
pass
''',
name="DatabaseDesign"
)Result: UML class diagram from Python code structure
Smart Format Detection
detect_file_format(
content='class User:\n def __init__(self):\n pass',
filename="models.py"
)Result: Format identification with conversion recommendations
Create with Template
create_diagram(diagram_type="sequence", use_template=True, name="UserFlow")Result: Auto-saved sequence diagram template ready for customization
🔧 Understanding Save Systems
Auto-Save (Always Active)
When: Every diagram creation and modification
Where:
/diagramsdirectory with metadataFormat:
.mmdfile +_metadata.jsonPurpose: Prevent data loss, maintain library
Manual Save (save_diagram)
When: On-demand via tool call
Where: Custom locations you specify
Format:
.mmdfile +_metadata.jsonPurpose: Backups, exports, custom workflows
Both systems work together - Auto-save maintains your library while manual save provides flexibility.
📁 Library Structure
diagrams/
├── SystemArchitecture_converted_20250824_120000.mmd
├── SystemArchitecture_converted_20250824_120000_metadata.json
├── TeamStructure_converted_20250824_130000.mmd
├── TeamStructure_converted_20250824_130000_metadata.json
├── UserFlow_diagram_20250824_140000.mmd
└── UserFlow_diagram_20250824_140000_metadata.json🎯 Format Conversion Pipeline
The integrated conversion system handles multiple input formats:
JSON Processing
Auto-detects nested JSON structures
Generates hierarchical flowcharts showing data relationships
Preserves key-value relationships and array structures
CSV Analysis
Parses CSV headers and relationships
Creates organizational charts or network diagrams
Handles employee/role data and relationship matrices
Python AST Parsing
Analyzes Python source code structure
Extracts classes, methods, and inheritance relationships
Generates UML class diagrams with method signatures
Plain Text Intelligence
Detects indentation patterns and structure
Converts to hierarchical mind maps
Processes bullet points and numbered lists
Smart Detection
Content analysis for format identification
File extension recognition when available
Conversion recommendations for optimal diagram types
🛡️ Enterprise Features
Robust Error Handling: Comprehensive exception management
Process Management: Background task cleanup and monitoring
Data Integrity: Metadata validation and consistency checks
Session Persistence: Diagrams survive server restarts
Format Validation: Input validation for all supported formats
Concurrent Access: Safe multi-client diagram access
🔄 Workflow Integration
Perfect for:
AI-Powered Diagramming: Let AI create and modify diagrams from any format
Documentation Generation: Convert data structures to visual documentation
Process Visualization: Transform workflows into clear diagrams
Code Architecture: Generate system diagrams from source code
Data Visualization: Convert CSVs and JSON to visual representations
Knowledge Mapping: Convert any structured content to mind maps
📝 License
MIT License - See LICENSE file for details
🤝 Contributing
Contributions welcome! The codebase follows modern Python patterns with comprehensive error handling and robust process management.
🙏 Acknowledgments
Inspired by Drawnix - Open-source whiteboard tool
Built with FastMCP
Powered by Mermaid diagram syntax
Format conversion powered by Python AST parsing and intelligent structure analysis
📞 Support
For issues or questions, please open an issue on GitHub.
System Requirements: Python 3.10+ | Compatible with Claude Desktop and MCP-enabled clients
🚀 Ready to convert any format to diagrams? Start creating visual representations from JSON, CSV, Python code, and more with automatic saving!
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