# Reablocks

> Use this tool when you need to rapidly generate and document React components with natural language descriptions, or explore and query components from the Reablocks UI library. It solves problems of tedious component creation, discovery, and documentation, providing intelligent dashboard generation, component suggestions, and detailed documentation as output. Ideal for developers seeking AI-assisted prototyping and building of React applications with Reablocks components.

Canonical page: https://skillsregistry.net/skills/qdhenry-reablocks  
JSON: https://api.skillsregistry.net/v1/skills/qdhenry-reablocks

## Description

This MCP server provides intelligent React component generation and documentation for the Reablocks UI library, built as a Cloudflare Worker using TypeScript with natural language processing capabilities. It offers four core tools: intelligent dashboard generation that creates complete React components from natural language descriptions, component exploration with filtering by category and search terms, natural language component queries that suggest appropriate components based on user requirements, and detailed component documentation with props, examples, and use cases. The implementation features a smart code generator that can produce forms, dashboards, tables, and custom layouts with TypeScript support, error handling, and modern styling, making it valuable for developers who want AI assistance in rapidly prototyping and building React applications with the Reablocks component library.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qdhenry-reablocks)
- **Repository:** <https://github.com/qdhenry/reablocks-mcp-server-experiment>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qdhenry-reablocks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qdhenry-reablocks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qdhenry-reablocks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt