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Mcp Project Orchestrator
What is Mcp Project Orchestrator
mcp-project-orchestrator is a comprehensive project orchestration tool designed to manage Model Context Protocol (MCP) projects, templates, prompts, and Mermaid diagrams. It helps users analyze input to identify suitable design patterns and project templates, facilitating the creation of initial project files.
Use cases
Use cases include quickly setting up new projects using predefined templates, managing prompts for user interactions, and generating visual diagrams to represent project workflows and structures.
How to use
To use mcp-project-orchestrator, install it via pip or Poetry. Initialize the TemplateManager to manage project templates, list available templates, and apply a selected template by providing necessary parameters such as project name and description.
Key features
Key features include template management for quick project setup, prompt management for system and user prompts, and Mermaid diagram generation for flowcharts, sequence diagrams, and class diagrams with validation and rendering options.
Where to use
mcp-project-orchestrator can be used in software development, particularly in projects that require structured templates and diagrams, such as web applications, API development, and modular software design.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Project Orchestrator
mcp-project-orchestrator is a comprehensive project orchestration tool designed to manage Model Context Protocol (MCP) projects, templates, prompts, and Mermaid diagrams. It helps users analyze input to identify suitable design patterns and project templates, facilitating the creation of initial project files.
Use cases
Use cases include quickly setting up new projects using predefined templates, managing prompts for user interactions, and generating visual diagrams to represent project workflows and structures.
How to use
To use mcp-project-orchestrator, install it via pip or Poetry. Initialize the TemplateManager to manage project templates, list available templates, and apply a selected template by providing necessary parameters such as project name and description.
Key features
Key features include template management for quick project setup, prompt management for system and user prompts, and Mermaid diagram generation for flowcharts, sequence diagrams, and class diagrams with validation and rendering options.
Where to use
mcp-project-orchestrator can be used in software development, particularly in projects that require structured templates and diagrams, such as web applications, API development, and modular software design.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Project Orchestrator
A comprehensive project orchestration tool for managing Model Context Protocol (MCP) projects, templates, prompts, and Mermaid diagrams.
Features
-
Template Management
- Project templates for quick project setup
- Component templates for modular development
- Variable substitution and validation
- Template discovery and versioning
-
Prompt Management
- System and user prompt templates
- Variable substitution
- Prompt categorization and versioning
- Easy prompt discovery and reuse
-
Mermaid Diagram Generation
- Flowchart generation
- Sequence diagram generation
- Class diagram generation
- SVG and PNG rendering
- Diagram validation
Installation
pip install mcp-project-orchestrator
Or with Poetry:
poetry add mcp-project-orchestrator
Quick Start
Project Templates
from mcp_project_orchestrator.templates import TemplateManager
# Initialize template manager
manager = TemplateManager("path/to/templates")
# List available templates
templates = manager.list_templates()
print(templates)
# Apply a project template
manager.apply_template("fastapi-project", {
"project_name": "my-api",
"project_description": "My FastAPI project",
"author_name": "John Doe",
"author_email": "[email protected]"
})
Prompt Management
from mcp_project_orchestrator.prompts import PromptManager
# Initialize prompt manager
manager = PromptManager("path/to/prompts")
# List available prompts
prompts = manager.list_prompts()
print(prompts)
# Render a prompt with variables
rendered = manager.render_prompt("system-prompt", {
"name": "User",
"project": "MCP"
})
print(rendered)
Mermaid Diagrams
from mcp_project_orchestrator.mermaid import MermaidGenerator, MermaidRenderer
# Initialize generators
generator = MermaidGenerator()
renderer = MermaidRenderer()
# Generate a flowchart
flowchart = generator.generate_flowchart(
nodes=[
("A", "Start"),
("B", "Process"),
("C", "End")
],
edges=[
("A", "B", ""),
("B", "C", "")
]
)
# Render to SVG
renderer.render(flowchart, "flowchart.svg")
Project Structure
mcp-project-orchestrator/ ├── src/ │ └── mcp_project_orchestrator/ │ ├── templates/ │ │ ├── __init__.py │ │ ├── base.py │ │ ├── project.py │ │ ├── component.py │ │ └── manager.py │ ├── prompts/ │ │ ├── __init__.py │ │ ├── template.py │ │ └── manager.py │ └── mermaid/ │ ├── __init__.py │ ├── generator.py │ └── renderer.py ├── tests/ │ ├── __init__.py │ ├── conftest.py │ ├── test_templates.py │ ├── test_prompts.py │ └── test_mermaid.py ├── docs/ ├── examples/ ├── .github/ │ └── workflows/ │ └── ci.yml ├── pyproject.toml ├── Containerfile └── README.md
Development
- Clone the repository:
git clone https://github.com/yourusername/mcp-project-orchestrator.git
cd mcp-project-orchestrator
- Install dependencies:
poetry install
- Run tests:
poetry run pytest
- Run linting:
poetry run ruff check . poetry run mypy src/mcp_project_orchestrator
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Model Context Protocol - The foundation for this project
- Mermaid - For diagram generation
- Poetry - For dependency management
- Ruff - For linting
- mypy - For type checking
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










