pulsemcp scanned Safe content atomic mcp-remote

Cloudscape Design System Documentation

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.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/praveenc/cloudscape-docs-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Cloudscape Design System Documentation from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"