# Sensory-Grounding MCP

> Sensory-Grounding MCP — luclinocruz-lucross-sensory-grounding-mcp. Use this tool when you need to verify the accuracy of visual, audio, and video outputs in AI-coded applications, as it provides a closed-loop verification cycle with mandatory enforcement hooks. It solves problems related to output validation and ensures compliance with specific standards or requirements. The Sensory-Grounding MCP tool takes in AI-generated outputs and returns verification results, making it ideal for use cases where output accuracy is critical.

Canonical page: https://skillsregistry.net/skills/luclinocruz-lucross-sensory-grounding-mcp  
JSON: https://api.skillsregistry.net/v1/skills/luclinocruz-lucross-sensory-grounding-mcp

## Description

Gives AI coding agents a closed-loop verification cycle for visual, audio, and video output, with enforcement hooks that make verification mandatory.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q04tk89jnn)
- **Repository:** <https://github.com/luclinocruz/lucross-sensory-grounding-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": "luclinocruz-lucross-sensory-grounding-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luclinocruz-lucross-sensory-grounding-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luclinocruz-lucross-sensory-grounding-mcp/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