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MCP servers/Design & Creative
agiflow avatar

AI Code Toolkit

agiflow/aicode-toolkit

A comprehensive MCP server suite that brings structured scaffolding and code review directly into your AI coding workflow. Exposes operations for generating project boilerplates, adding feature scaffolds from YAML templates, applying file-specific design patterns, and running rule-based code reviews against your team's standards. Works with Claude Code, Cursor, and Gemini CLI through four specialized servers: scaffold-mcp for code generation, architect-mcp for patterns and reviews, style-system for design system discovery, and one-mcp for progressive tool loading. Reach for this when you want to codify your project conventions and have AI agents consistently apply them across repositories of any size.

GitHub stars
156
last updated
Mar 10, 2026
View on GitHubSave

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Readme

AI Code Toolkit

npm version License: AGPL-3.0 Discord

AI Code Toolkit Banner

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

Why This Exists

As projects scale, conventions in docs like CLAUDE.md, AGENTS.md, and style guides become hard to keep concise and consistently applied by AI agents. This toolkit moves those conventions into reusable template configs (scaffold.yaml, architect.yaml, RULES.yaml) so agents can discover only the relevant guidance when needed.

Purpose-based plugins

For toolkit users who prefer an agent plugin, install only the workflows you need: aicode-bootstrap (project creation), aicode-develop (features and patterns), aicode-review (rules-based review), aicode-admin (authoring reusable configuration), or aicode-design (frontend discovery). Self-contained plugin roots are under plugins/ and work with the Claude Code/Cowork marketplace, Codex marketplace, and local Gemini extension installation; Cursor/Grok and Cowork's local stdio runtime still need client acceptance tests. Read the installation and compatibility guide before use. These bundles group workflows rather than restrict tool access.

Initialize the consumer project before starting a scaffold-backed plugin with interactive npx -y @agiflowai/aicode-toolkit@2.0.0 init --skip-mcp; plugin installation does not supply templates. Keep MCP server cwd in the consumer workspace. Published style-system 0.2.0 currently ignores some discovery filters until the dispatch fix is released. See compatibility.

Quick Start

Requirements:

  • Node.js >= 22.12 (Node 24 recommended)
  • 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-boilerplates
  • use-boilerplate
  • list-scaffolding-methods
  • use-scaffold-method

Admin tools:

  • generate-boilerplate
  • generate-feature-scaffold
  • generate-boilerplate-file

architect-mcp

Provides file-specific patterns before edits and reviews changes against RULES.yaml.

Core tools:

  • get-file-design-pattern
  • review-code-change

Admin tools:

  • add-design-pattern
  • add-rule

style-system

Provides theme, CSS class, and component discovery tools.

Core tools:

  • list_themes
  • get_css_classes
  • get_component_visual
  • list_shared_components
  • list_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:

TemplateStackIncludes
nextjs-drizzleNext.js 15, App RouterTypeScript, Tailwind 4, Drizzle, Storybook
typescript-libTypeScript LibraryESM/CJS, Vitest, TSDoc
typescript-mcp-packageMCP ServerCommander, 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-pattern
  • add-rule

Supported Agents

AgentConfig LocationStatus
Claude Code.mcp.jsonSupported
Cursor.cursor/mcp.jsonSupported
Gemini CLI.gemini/settings.jsonSupported
Codex CLI.codex/config.jsonSupported
GitHub CopilotVS Code settingsSupported
Windsurf-Planned

Packages

PackageDescription
@agiflowai/aicode-toolkitCLI for init and config sync
@agiflowai/scaffold-mcpScaffolding server
@agiflowai/architect-mcpPattern and review server
@agiflowai/style-systemDesign-system server
@agiflowai/one-mcpMCP proxy for progressive discovery

Contributing

See CONTRIBUTING.md.

License

AGPL-3.0


Issues · Discord · Website

Details

Repository
github.com/agiflow/aicode-toolkit
Category
Design & Creative

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