aicode-toolkit
by AgiFlow·★ 156·Score 48
MCP server toolkit providing project scaffolding, code guidance, and design system discovery for AI agents.
Overview
The AI Code Toolkit is a comprehensive MCP server solution that helps AI coding agents work reliably with repositories of any size. It provides project scaffolding through templates, file-level design guidance, rule-based code reviews, and design system discovery tools. The toolkit consists of multiple MCP servers including scaffold-mcp for boilerplate generation, architect-mcp for pattern guidance and code review, and style-system for theme and component discovery.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
Choose this toolkit when working with multiple coding agents to maintain consistency across projects or when implementing standardized scaffolding and design patterns.
When NOT to choose this
Avoid if you need a simple solution for small projects or if you're concerned about vendor lock-in with the AgiFlow-specific MCP servers.
Tools this server exposes
12 tools extracted from the READMElist-boilerplatesLists available boilerplates for project initialization
use-boilerplateUses a specified boilerplate to initialize a project
list-scaffolding-methodsLists available scaffolding methods for adding features
use-scaffold-methodUses a specified scaffolding method to add features
get-file-design-patternReturns design patterns for a specific file before editing
review-code-changeReviews code changes against defined rules
list_themesLists available design themes
get_css_classesReturns CSS classes available in the current theme
get_component_visualReturns visual representation of a component
list_shared_componentsLists shared components in the project
list_app_componentsLists application-specific components
add-design-patternAdds a new design pattern to the project
Comparable tools
Installation
Installation
- Install via npm for your project:
npx @agiflowai/aicode-toolkit init- Configure MCP in your AI agent settings. For Claude Code, add to
.mcp.json:
{
"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"]
},
"style-system": {
"command": "npx",
"args": ["-y", "@agiflowai/style-system", "mcp-serve"]
}
}
}FAQ
- Which AI agents support this MCP server?
- The toolkit supports Claude Code, Cursor, Gemini CLI, Codex CLI, GitHub Copilot, and Windsurf (planned).
- Can I create custom templates?
- Yes, use the admin tools like generate-boilerplate and add-design-pattern to create custom templates and rules.
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Last updated · Auto-generated from public README + GitHub signals.