Skip to main content

YAML-first project scaffolding tool with remote content fetching, AI/MCP integration, and DevOps automation

Project description

๐Ÿš€ StructKit: YAML-first scaffolding for teams and AI agents

Define project structures once in YAML, then generate consistent repos, CI files, docs, Terraform modules, and app layouts locally, in CI, or through an AI assistant via MCP.

codecov GitHub issues GitHub pull requests GitHub stars

StructKit replaces copy-pasted boilerplate and aging "golden repos" with reusable YAML structures. It can render template variables, fetch canonical files from remote sources, preview changes before writing, and expose your scaffolds to AI assistants through the Model Context Protocol.

๐Ÿš€ Quick Start | ๐Ÿ“š Docs | ๐Ÿงฉ Examples | ๐Ÿค– MCP / AI Agent Guide | ๐Ÿง  Agent Skills | ๐Ÿ’ฌ Discussions

โšก Try it in 60 seconds

# Install the CLI
pip install structkit

# Preview available bundled structures
structkit list

# Generate a ready-made Terraform module scaffold
structkit generate --vars module_name=my-terraform-module terraform/modules/generic ./my-terraform-module

Prefer Docker?

docker run --rm -v "$(pwd):/workdir" ghcr.io/httpdss/structkit:main \
  generate --vars module_name=my-terraform-module terraform/modules/generic ./my-terraform-module

๐Ÿ‘ค Who StructKit is for

  • Platform / DevEx teams standardizing service layouts, CI baselines, and engineering conventions across many repos.
  • DevOps engineers generating repeatable Terraform modules, Kubernetes manifests, GitHub Actions workflows, and config bundles.
  • AI coding workflow users who want assistants to scaffold from approved templates instead of inventing project structure.
  • Individual developers tired of rebuilding the same files, folders, and docs for every new project.

๐Ÿค” Why StructKit?

Project scaffolding tools exist in most ecosystems, but StructKit solves problems the others often leave to copy-paste, template repositories, or custom scripts.

Feature cookiecutter copier StructKit
Remote content (GitHub, S3, GCS, HTTP) โŒ โŒ โœ…
AI / MCP integration โŒ โŒ โœ…
Pre/post generation hooks โœ… โœ… โœ…
Dry run mode โŒ โœ… โœ…
YAML-first (no template repo required) โŒ โŒ โœ…
Multiple file conflict strategies โŒ โœ… โœ…
IDE schema validation โŒ โŒ โœ…

Key differentiators:

  • Remote-first content: Reference your organization's canonical CI template from GitHub directly in your StructKit config. When the template updates, all new projects get the update โ€” no copy-paste maintenance.
  • AI-native via MCP: Start the StructKit MCP server so your AI assistant can generate project scaffolds from natural language using your templates as the source of truth.
  • Agent skill ready: Install the companion httpdss/structkit-skills workflow skill so AI assistants consistently inspect, preview, generate, and validate StructKit structures.
  • YAML-first: Define structures directly in YAML. No separate template repository is required.
  • Safe by default: Use dry-run previews and file conflict strategies before writing into existing projects.

โœจ Key Features

  • ๐Ÿ“ YAML-Based Configuration - Define project structures in simple, readable YAML
  • ๐Ÿ”ง Template Variables - Dynamic content with Jinja2 templating and interactive prompts
  • ๐ŸŒ Remote Content - Fetch files from GitHub, HTTP/HTTPS, S3, and Google Cloud Storage
  • ๐Ÿ›ก๏ธ Smart File Handling - Multiple strategies for managing existing files (overwrite, skip, backup, etc.)
  • ๐Ÿช Automation Hooks - Pre and post-generation shell commands
  • ๐ŸŽฏ Dry Run Mode - Preview changes before applying them
  • โœ… Validation & Schema - Built-in YAML validation and IDE support
  • ๐Ÿค– MCP Integration - Model Context Protocol support for AI-assisted development workflows

๐Ÿš€ More usage examples

# Generate a Terraform module structure
structkit generate --vars module_name=my-terraform-module terraform/modules/generic ./my-terraform-module

# List available structures
structkit list

# Validate a configuration
structkit validate my-config.yaml

# Start MCP server for AI integration
structkit mcp --server

If StructKit saves you setup time, star the repo, try an example, or share your use case in GitHub Discussions.

Example Configuration

files:
  - README.md:
      content: |
        # {{@ project_name @}}
        Generated with StructKit
  - .gitignore:
      file: github://github/gitignore/main/Python.gitignore

folders:
  - src/:
      struct: project/python
      with:
        app_name: "{{@ project_name | slugify @}}"

variables:
  - project_name:
      description: "Name of your project"
      type: string
      default: "MyProject"

๐Ÿ“š Documentation

Our comprehensive documentation is organized into the following sections:

๐Ÿ Getting Started

โš™๏ธ Configuration

๐Ÿ”ง Advanced Features

๐Ÿ‘ฉโ€๐Ÿ’ป Development

๐Ÿ“– Resources

๐ŸŽฏ Use Cases

  • Infrastructure as Code - Generate Terraform modules, Kubernetes manifests
  • Application Scaffolding - Bootstrap microservices, APIs, frontend projects
  • DevOps Automation - CI/CD pipeline templates, configuration management
  • Documentation - Consistent project documentation and compliance templates

๐Ÿค Community

๐Ÿ“œ License

MIT License - see LICENSE for details.

๐Ÿ’ฐ Support

If StructKit helps your workflow, consider supporting the project: patreon/structproject


๐Ÿ“š Complete Documentation | ๐Ÿ› Report Issues | ๐Ÿ’ฌ Discussions

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

structkit-3.2.0.tar.gz (113.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

structkit-3.2.0-py3-none-any.whl (112.7 kB view details)

Uploaded Python 3

File details

Details for the file structkit-3.2.0.tar.gz.

File metadata

  • Download URL: structkit-3.2.0.tar.gz
  • Upload date:
  • Size: 113.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for structkit-3.2.0.tar.gz
Algorithm Hash digest
SHA256 2fa73a9ad148223a67490f4c6807435af29820001dc72c2505cf38de4af5b66a
MD5 2d46f00b687c0793be14f882680f93bd
BLAKE2b-256 2a48ab822b70e69290574444c35afb938cfd92359f342d0419d56f6422bc9ee3

See more details on using hashes here.

File details

Details for the file structkit-3.2.0-py3-none-any.whl.

File metadata

  • Download URL: structkit-3.2.0-py3-none-any.whl
  • Upload date:
  • Size: 112.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for structkit-3.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 afa147a9da72f10a50043b1d79caa97d5ab2405ffea7bd2882c89bb804b58574
MD5 152e74a926b84bfbcb8ac2968928ef2d
BLAKE2b-256 cebdfb51766e1a52beac4eb62d9c7d4de906b0727688ff73dcc61b33a48bef31

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page