global-development — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited global-development (Rules) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
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A Model Context Protocol (MCP) server that provides seamless integration with the Cycloid platform, enabling AI assistants to interact with Cycloid's infrastructure management capabilities through natural language.
The Cycloid MCP Server bridges the gap between AI assistants and Cycloid's powerful infrastructure automation platform. It enables users to:
begin, end, severity, type)info, warn, err, critCycloid, AWS, Monitoring, CustomThe server uses a dynamic component registration system based on FastMCP's MCPMixin:
src/components/catalogs/, stacks/)*_tools.py, *_resources.py, *_handlers.py, *_prompts.pyregister_all() method for proper tool/resource registrationThe Cycloid MCP Server runs as a web service using HTTP transport. Organization and API key are provided via HTTP headers (X-CY-ORG and X-CY-API-KEY) for each request, enabling multi-tenant usage.
Usage: python server.py
# Clone and setup
git clone <repository-url>
cd cycloid-mcp-server
make setup
# Run development server
make dev-server#### Using Pre-built Docker Images
The project provides pre-built Docker images via Docker Hub:
# Pull the latest image
docker pull cycloid/cycloid-mcp-server:latest
# Run the server
docker run -p 8010:8010 cycloid/cycloid-mcp-server:latest#### Building Locally
# Build Docker image
make build
# Run production server
make prod-serverFor detailed MCP server configuration examples, see mcp-examples.md.
# Development Environment
make setup # Setup development environment with uv
make install # Install dependencies
make help # Show all available commands
make validate-env # Validate local environment matches CI
# Development Server
make dev-server # Run development server using Python virtual environment
# HTTP Server
python server.py # Run HTTP server
# Production
make build # Build Docker image
make prod-server # Run production server using Docker
# Testing and Quality
make test # Run all tests
make type-check # Run pyright type checking
make lint # Run PEP 8 linting with flake8
make format # Format code with black and isort
make quality-check # Run all quality checks (tests + type checking + linting)
make simulate-ci # Validate environment and run quality checks
# Cleanup
make clean # Clean up development artifacts
make clean-docker # Clean up Docker artifactsSee CONTRIBUTING.md for detailed development guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.