Scaffold Generator▌

by agiflow
Quickly rp prototype web apps with Scaffold Generator: create consistent scaffolding using templates, variable substitut
Generates code scaffolding for modern web applications using template-based boilerplate creation and feature addition with variable substitution, conditional file inclusion, and schema validation for rapid prototyping and consistent development patterns.
best for
- / Frontend developers starting new projects
- / Teams enforcing consistent code structure
- / Rapid prototyping and MVP development
- / Standardizing development workflows
capabilities
- / Generate project scaffolds from templates
- / Add features to existing codebases
- / Substitute variables in template files
- / Validate code structure against schemas
- / Create consistent development patterns
- / Configure MCP server setups automatically
what it does
Generates code scaffolding and boilerplate for modern web applications using customizable templates with variable substitution and schema validation.
about
Scaffold Generator is a community-built MCP server published by agiflow that provides AI assistants with tools and capabilities via the Model Context Protocol. Quickly rp prototype web apps with Scaffold Generator: create consistent scaffolding using templates, variable substitut It is categorized under developer tools.
how to install
You can install Scaffold Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
AGPL-3.0
Scaffold Generator is released under the AGPL-3.0 license.
readme
AI Code Toolkit
This repo provides:
- project and feature scaffolding via templates
- file-level design guidance before edits
- rule-based review after edits
- design-system discovery for frontend work
Quick Start
Requirements:
- Node.js >= 18
- an MCP-compatible agent such as Claude Code, Cursor, or Gemini CLI
1. Initialize a Workspace
# Existing project
npx @agiflowai/aicode-toolkit init
# New project
npx @agiflowai/aicode-toolkit init --name my-app --project-type monolith
This creates templates/ and .toolkit/settings.yaml. Projects reference templates through sourceTemplate in project.json or .toolkit/settings.yaml.
2. Configure MCP
init can configure MCP automatically. For manual setup, add the servers you need to your agent config.
Example for Claude Code:
{
"mcpServers": {
"scaffold-mcp": {
"command": "npx",
"args": ["-y", "@agiflowai/scaffold-mcp", "mcp-serve", "--admin-enable"]
},
"architect-mcp": {
"command": "npx",
"args": [
"-y", "@agiflowai/architect-mcp", "mcp-serve",
"--admin-enable",
"--design-pattern-tool", "codex",
"--review-tool", "gemini-cli"
]
},
"style-system": {
"command": "npx",
"args": ["-y", "@agiflowai/style-system", "mcp-serve"]
}
}
}
Useful flags:
--admin-enable: enable admin/template-authoring tools--design-pattern-tool <tool>: use an LLM to filter design patterns--review-tool <tool>: use an LLM for review output
3. Verify
Ask the agent:
What boilerplates are available?
It should call list-boilerplates. If not, restart the agent.
Repo Layout
AI agent
├─ scaffold-mcp
├─ architect-mcp
├─ style-system
└─ one-mcp
↓
templates/
├─ scaffold.yaml
├─ architect.yaml
└─ RULES.yaml
scaffold-mcp
Generates projects and feature boilerplate from templates.
Core tools:
list-boilerplatesuse-boilerplatelist-scaffolding-methodsuse-scaffold-method
Admin tools:
generate-boilerplategenerate-feature-scaffoldgenerate-boilerplate-file
architect-mcp
Provides file-specific patterns before edits and reviews changes against RULES.yaml.
Core tools:
get-file-design-patternreview-code-change
Admin tools:
add-design-patternadd-rule
style-system
Provides theme, CSS class, and component discovery tools.
Core tools:
list_themesget_css_classesget_component_visuallist_shared_componentslist_app_components
one-mcp
Provides progressive tool discovery to reduce MCP prompt overhead.
Typical Workflow
Create a Project
User: "Create a Next.js app called dashboard"
Agent:
1. list-boilerplates
2. use-boilerplate
3. Project is generated
Add a Feature
User: "Add a products API route"
Agent:
1. list-scaffolding-methods
2. use-scaffold-method
3. Feature files are generated
Edit a File Safely
User: "Add a products page"
Agent:
1. get-file-design-pattern
2. edit the file using the returned patterns and rules
3. review-code-change
4. fix any violations
Style a Component
User: "Style the button with our theme colors"
Agent:
1. get_css_classes
2. list_shared_components
3. update the component
4. get_component_visual
Template Structure
templates/
└── nextjs-15/
├── scaffold.yaml
├── architect.yaml
├── RULES.yaml
└── boilerplate/
scaffold.yaml
Defines boilerplates and feature scaffolds.
boilerplates:
- name: nextjs-15-app
description: "Next.js 15 with App Router"
targetFolder: apps
includes:
- boilerplate/**/*
features:
- name: add-route
description: "Add route with page and layout"
variables_schema:
name: { type: string, required: true }
includes:
- features/route/**/*
architect.yaml
Defines file-level patterns that should be shown before edits.
patterns:
- name: server-component
description: "Default for page components"
file_patterns:
- "**/app/**/page.tsx"
description: |
- Use async/await for data fetching
- Keep components focused on rendering
- Move business logic to server actions
RULES.yaml
Defines review rules. Rules can be inherited from a global templates/RULES.yaml.
version: '1.0'
template: typescript-lib
rules:
- pattern: src/services/**/*.ts
description: Service Layer Implementation Standards
must_do:
- rule: Create class-based services with single responsibility
codeExample: |-
export class DataProcessorService {
async processData(input: string): Promise<ProcessedData> {
// Implementation
}
}
- rule: Use dependency injection for composability
must_not_do:
- rule: Create static-only utility classes - use functions
codeExample: |-
// ❌ BAD
export class Utils {
static format(s: string) {}
}
// ✅ GOOD
export function format(s: string): string {}
Project Types
Monorepo
Each project references its template in project.json.
my-workspace/
├── apps/
│ └── web-app/
│ └── project.json
├── packages/
│ └── shared-lib/
│ └── project.json
└── templates/
Monolith
Monoliths use .toolkit/settings.yaml.
version: "1.0"
projectType: monolith
sourceTemplate: nextjs-15
Built-in Templates
Included templates:
| Template | Stack | Includes |
|---|---|---|
nextjs-drizzle | Next.js 15, App Router | TypeScript, Tailwind 4, Drizzle, Storybook |
typescript-lib | TypeScript Library | ESM/CJS, Vitest, TSDoc |
typescript-mcp-package | MCP Server | Commander, MCP SDK |
Custom Templates
For template authoring, start from an existing repo or template and use the admin prompts:
/generate-boilerplate
/generate-feature-scaffold
For design/rule authoring, use:
add-design-patternadd-rule
Supported Agents
| Agent | Config Location | Status |
|---|---|---|
| Claude Code | .mcp.json | Supported |
| Cursor | .cursor/mcp.json | Supported |
| Gemini CLI | .gemini/settings.json | Supported |
| Codex CLI | .codex/config.json | Supported |
| GitHub Copilot | VS Code settings | Supported |
| Windsurf | - | Planned |
Packages
| Package | Description |
|---|---|
| @agiflowai/aicode-toolkit | CLI for init and config sync |
| @agiflowai/scaffold-mcp | Scaffolding server |
| @agiflowai/architect-mcp | Pattern and review server |
| @agiflowai/style-system | Design-system server |
| @agiflowai/one-mcp | MCP proxy for progressive discovery |
Contributing
See CONTRIBUTING.md.
License
FAQ
- What is the Scaffold Generator MCP server?
- Scaffold Generator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Scaffold Generator?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Scaffold Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Scaffold Generator against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Scaffold Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Scaffold Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Scaffold Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Scaffold Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Scaffold Generator has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Scaffold Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Scaffold Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Scaffold Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.