# Cloudscape Design System Documentation

> Use this tool when you need to efficiently search and retrieve AWS Cloudscape Design System documentation using natural language queries. It solves problems of information overload and slow documentation lookup by providing semantic search capabilities and instant access to relevant files. The tool takes in natural language queries as input and outputs relevant documentation files, making it ideal for use cases where quick and accurate documentation retrieval is crucial.

Canonical page: https://skillsregistry.net/skills/praveenc-cloudscape-docs  
JSON: https://api.skillsregistry.net/v1/skills/praveenc-cloudscape-docs

## Description

This MCP server implementation provides semantic search capabilities over AWS Cloudscape Design System documentation using vector embeddings. Developed by Praveen Chamarthi, it uses the Jina Code Embeddings model and LanceDB for local vector storage to enable efficient documentation retrieval. The server exposes two complementary tools: cloudscape_search_docs for finding relevant documentation files based on natural language queries, and cloudscape_read_doc for reading the full content of specific files. The implementation features hardware-optimized embedding detection with support for Apple Silicon MPS, CUDA acceleration, and CPU fallback, along with lazy loading of resources and deduplication of search results for token efficiency in agentic workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/praveenc-cloudscape-docs)
- **Repository:** <https://github.com/praveenc/cloudscape-docs-mcp>

## 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": "praveenc-cloudscape-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/praveenc-cloudscape-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/praveenc-cloudscape-docs/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