Design · MODEL CONTEXT PROTOCOL

sparesparrow mcp project orchestrator

Analyze user input to identify suitable design patterns and project templates. Orchestrate the project, creating initial files from templates.

WHAT IT CONNECTS

What sparesparrow mcp project orchestrator gives an AI Agent

  • **Template Management**
  • Project templates for quick project setup
  • Component templates for modular development
  • Variable substitution and validation
  • Template discovery and versioning

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

MCP Project Orchestrator

CI/CD Python 3.9+ License: MIT

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
  • AWS MCP Integration

    • AWS service access (S3, EC2, Lambda, CloudFormation, IAM)
    • AWS best practices enforcement
    • Cost optimization recommendations
    • Security and compliance guidance
    • See AWS_MCP.md for details

Installation

The package is not published on PyPI; install it from GitHub:

pip install "git+https://github.com/sparesparrow/mcp-project-orchestrator.git"

For AWS integration support:

pip install "mcp-project-orchestrator[aws] @ git+https://github.com/sparesparrow/mcp-project-orchestrator.git"

Or, for development, from a clone:

git clone https://github.com/sparesparrow/mcp-project-orchestrator.git
cd mcp-project-orchestrator
pip install -e .

Using as a Conan dependency (for ai-servis)

This repository provides a Conan v2 package exposing the Python environment and CLI. In ai-servis's conanfile.py add:

def requirements(self):
    self.requires("mcp-project-orchestrator/0.1.0@sparesparrow/stable")

Then activate the run environment so mcp-orchestrator is on PATH and the package is on PYTHONPATH:

conan profile detect --force
conan create . --user=sparesparrow --channel=stable
conan install mcp-project-orchestrator/0.1.0@sparesparrow/stable -g VirtualRunEnv
./conanrun.sh mcp-orchestrator --help

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": "john@example.com"
})

JSON-Driven Project Orchestration

The setup script reads config/project_orchestration.json to enable/disable features and set ports and tool options.

Run the setup:

chmod +x scripts/setup_orchestrator.sh
scripts/setup_orchestrator.sh

Edit config/project_orchestration.json to control scaffolding:

{
  "enable": {
    "cursorConfigs": true,
    "pythonMcp": true,
    "tsMcp": true,
    "cppMcp": true,
    "mcpClient": true,
    "backgroundAgent": true,
    "githubActions": true,
    "devcontainer": true,
    "awsTerraform": true,
    "webAndMcp": true,
    "cppConan": true,
    "esp32": true,
    "android": true
  }
}
  • Set items to false to skip generating those components.
  • Ports and URLs are respected across .cursor/webhooks, .cursor/agents, Dockerfile EXPOSE, and compose.yaml.

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

  1. Clone the repository:
git clone https://github.com/sparesparrow/mcp-project-orchestrator.git
cd mcp-project-orchestrator
  1. Install dependencies:
poetry install
  1. Run tests:
poetry run pytest
  1. Run linting:
poetry run ruff check .
poetry run mypy src/mcp_project_orchestrator

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

OpenSSL Integration

Enhanced with OpenSSL project templates and Cursor AI configuration.

Create OpenSSL Project

mcp-orchestrator create-openssl-project \
  --project-name my-secure-app \
  --deployment-target fips-government

Deploy AI Configuration

mcp-orchestrator deploy-cursor --project-type openssl

Templates Available

  • openssl-consumer: Standard OpenSSL application
  • openssl-fips: FIPS 140-3 government deployment
View README on GitHub

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