shadcn/ui Registry Manager▌
by reuvenaor
Manage and automate your React projects with shadcn/ui Registry Manager. Integrate shadcn UI components easily for smoot
Integrates with the shadcn/ui component registry to initialize projects, add components, and manage configurations remotely through CLI operations like init and add, supporting both official and custom registries for automating React/Next.js project setup and component library management.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / React/Next.js developers using shadcn/ui components
- / Automating project setup in CI/CD pipelines
- / Managing shadcn projects in containerized environments
- / AI agents building React applications
capabilities
- / Initialize shadcn/ui projects with configurations
- / Add UI components from shadcn registry
- / List available registry components and blocks
- / Execute shadcn CLI commands remotely
- / Connect to custom or self-hosted registries
- / Manage project configurations programmatically
what it does
Runs shadcn/ui CLI commands remotely to initialize React/Next.js projects and add UI components from the shadcn registry. Works with both official and custom component registries.
about
shadcn/ui Registry Manager is a community-built MCP server published by reuvenaor that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage and automate your React projects with shadcn/ui Registry Manager. Integrate shadcn UI components easily for smoot It is categorized under developer tools.
how to install
You can install shadcn/ui Registry Manager 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
MIT
shadcn/ui Registry Manager is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
shadcn registry manager - MCP Server
This project provides an MCP (Model Context Protocol) server for the shadcn/ui component registry and CLI. It enables remote, programmatic, or containerized execution of shadcn CLI commands (such as init, add, etc.) that you would normally run locally, making it easy to automate, integrate, or run in cloud/dev environments. The MCP server can connect to both local and remote shadcn registries, providing a secure, extensible, and technical interface for automating project management tasks via AI or CLI agents.
What It Does
This MCP server exposes shadcn CLI operations as MCP tools, so you (or an AI agent) can:
- Initialize a project
- Add components from the shadcn registry including block components
- List and fetch registry items
- Run all shadcn CLI workflows remotely
- Supports both the official shadcn registry - https://ui.shadcn.com/r and custom/self-hosted registries follow this guide: https://ui.shadcn.com/docs/blocks
Usage
Docker
Run the MCP server in a container, mounting your project directory:
Add the following to your mcp.json file:
"shadcn-registry-manager": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--mount",
"type=bind,src=<your-project-path>,dst=/workspace",
"-e",
"REGISTRY_URL=https://ui.shadcn.com/r",
"-e",
"STYLE=new-york",
"reuvenaor/shadcn-registry-manager"
],
},
Docker mounting explanation:
-
<your-project-path> - Is the path to your project directory.
Example:
/Library/Projects/shadcn-registry-manager/www -
/workspace - is the path to the workspace directory inside the container. (Don't change it, if you do, you must pass the same path as
cwdparam on every tool call)
Docker ENV Variables:
- REGISTRY_URL
- option 1:
https://ui.shadcn.com/r- The URL of the shadcn registry - option 2:
http://localhost:3000>/r- The URL of your own registry server (follow this guide: https://ui.shadcn.com/docs/blocks)
- option 1:
- STYLE - is the style of the shadcn registry -
new-york
npx
You can also run the MCP server using npx, which is convenient for local development or CI/CD pipelines.
Add the following to your mcp.json file:
"shadcn-registry-manager": {
"command": "npx",
"args": [
"@reuvenorg/shadcn-registry-manager"
],
"env": {
"REGISTRY_URL": "https://ui.shadcn.com/r",
"WORKSPACE_DIR": "/Library/Projects/mcp-docker/www",
"STYLE": "new-york"
}
}
Claude
You can also use the MCP server with Claude. Here are the configuration options:
Claude CLI Command:
claude mcp add --scope project shadcn-registry-manager npx @reuvenorg/shadcn-registry-manager -e REGISTRY_URL=https://ui.shadcn.com/r -e WORKSPACE_DIR=/Library/Projects/resume -e STYLE=new-york
Claude .mcp.json Configuration:
{
"shadcn-registry-manager": {
"type": "stdio",
"command": "npx",
"args": [
"@reuvenorg/shadcn-registry-manager"
],
"env": {
"REGISTRY_URL": "https://ui.shadcn.com/r",
"WORKSPACE_DIR": "/Library/Projects/resume",
"STYLE": "new-york"
}
}
}
npx ENV Variables:
- WORKSPACE_DIR - The path to your project directory (mounted as the workspace)
- REGISTRY_URL
- option 1:
https://ui.shadcn.com/r- The URL of the shadcn registry - option 2:
http://localhost:3000/r- The URL of your own registry server (follow this guide: https://ui.shadcn.com/docs/blocks)
- option 1:
- STYLE - is the style of the shadcn registry -
new-york
Example MCP Tools
get_init_instructions: Get project initialization instructionsexecute_init: Run full project initializationget_items: List available registry itemsget_item: Fetch a specific registry itemadd_item: Add a registry item to your projectexecute_add: Add multiple components to your projectget_blocks: Get current blocks from the registry
Example Usage
use the tool `get_blocks` to get the blocks from the registry
use the tool `add_item` - dashboard-01 to your project
Source
made with ❤️ by Reuven Naor
MIT License. See LICENSE for details.
FAQ
- What is the shadcn/ui Registry Manager MCP server?
- shadcn/ui Registry Manager 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 shadcn/ui Registry Manager?
- This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★56 reviews- ★★★★★Chen Ramirez· Dec 28, 2024
We wired shadcn/ui Registry Manager into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Chen Sanchez· Dec 16, 2024
shadcn/ui Registry Manager has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ganesh Mohane· Dec 12, 2024
According to our notes, shadcn/ui Registry Manager benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yusuf Harris· Dec 12, 2024
shadcn/ui Registry Manager is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chen Abbas· Nov 19, 2024
According to our notes, shadcn/ui Registry Manager benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kwame Okafor· Nov 7, 2024
shadcn/ui Registry Manager is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Rahul Santra· Nov 3, 2024
We wired shadcn/ui Registry Manager into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Valentina Harris· Nov 3, 2024
shadcn/ui Registry Manager has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kwame Tandon· Oct 26, 2024
We wired shadcn/ui Registry Manager into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Pratham Ware· Oct 22, 2024
shadcn/ui Registry Manager is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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