Cloud Diagram MCP
Enables visualization of Terraform plan changes as interactive cloud architecture diagrams with official AWS, Azure, and GCP icons, showing resource dependencies and changes.
README
Cloud Diagram MCP
MCP server that visualizes Terraform plan changes as cloud architecture diagrams with official AWS, Azure, and GCP icons.
Features
- Generate diagrams from Terraform plan JSON (no cloud credentials required)
- Multi-cloud support with official provider icons
- Hierarchical architecture views with dependency connections
- Interactive HTML with clickable resources showing configuration details
- Color-coded changes: green (create), red (delete), orange (update), purple (replace)
Screenshots
Installation
Prerequisites: Python 3.10+, Graphviz, Node.js 18+
# Install Graphviz
# Ubuntu/Debian: sudo apt-get install graphviz
# macOS: brew install graphviz
# Windows: winget install --id Graphviz.Graphviz (add bin to PATH)
# Clone and install
git clone https://github.com/aviveldan/cloud-diagram-mcp.git
cd cloud-diagram-mcp
pip install -r requirements.txt
# Build React UI
cd ui && npm install && npm run build && cd ..
Usage
MCP Server
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"cloud-diagram": {
"command": "python3",
"args": ["-m", "cloud_diagram_mcp.server"],
"cwd": "/path/to/cloud-diagram-mcp"
}
}
}
Terraform Plan
terraform plan -out=tfplan
terraform show -json tfplan > plan.json
Use the MCP visualize_tf_diff tool with the plan JSON as input:
{
"plan": "<plan-json-content>"
}
Command Line
python3 test_mcp.py # Test MCP tools
python3 generate_documentation_diagrams.py # Generate example diagrams
Supported Resources
AWS: EC2, VPC, RDS, S3, ELB, Lambda, IAM, ElastiCache, Route53, CloudFront, NAT Gateway, and more
Azure: VMs, Virtual Networks, SQL Database, Storage Accounts, Managed Identities, and more
GCP: Compute Engine, VPC, Cloud SQL, Cloud Storage, GKE, and more
Development
# Build UI
cd ui && npm install && npm run build
# Run Python tests (requires Graphviz)
python3 test_mcp.py
# Run Playwright UI tests
cd ui
npm run build
python create-test-harness.py
python create-test-harness-architecture.py
npm test
For complete testing documentation, see TESTING.md.
Continuous Integration
All tests run automatically on every pull request via GitHub Actions. See .github/workflows/test.yml for the complete CI configuration.
For complete CI/CD documentation, including release process and workflows, see CI_CD.md.
CI/CD
This repository includes comprehensive CI/CD workflows:
- Tests (
.github/workflows/test.yml): Runs Python and Playwright tests on all PRs and pushes to main - Release (
.github/workflows/release.yml): Automatically publishes to PyPI when a new version tag is pushed - Dependabot (
.github/dependabot.yml): Automatically updates dependencies weekly
Creating a Release
- Update version in
cloud_diagram_mcp/__init__.py - Update
CHANGELOG.mdwith the new version and changes - Commit the changes
- Create and push a version tag:
git tag v2.1.0 git push origin v2.1.0 - The release workflow will automatically:
- Build the package
- Create a GitHub release with release notes
- Publish to PyPI
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines on how to contribute to this project.
License
MIT
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