pulsemcp scanned Safe content atomic mcp-remote

Frontend Review

Frontend Review MCP Server provides a visual review tool for UI edit requests by comparing before and after screenshots. Built by ZukAi-MCP, it uses the Hyperbolic API to analyze whether visual changes satisfy the original edit request, with intelligent model fallback across Qwen, Llama, and Pixtral vision models. The server accepts screenshot paths and edit request descriptions, then returns either a confirmation or detailed explanation of why the changes don't meet requirements. It's particularly valuable for developers and AI assistants working on frontend modifications who need objective visual verification without manually inspecting each change.

Cognium trust score

64%

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: api-integration
Source: PulseMCP
Repository: github.com/fefergrgrgrg/cs-wallet
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Frontend Review 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"