# app.vercel.ora-x402-gateway/sensations-mergulho

> app.vercel.ora-x402-gateway/sensations-mergulho — app-vercel-ora-x402-gateway-sensations-mergulho. Use this tool when you need to create a server for managing textual descents with append-only logging, solving problems related to data tracking and retention. It provides a 107-level textual descent functionality, taking in textual inputs and outputting a logged trace. Utilize it in contexts where data integrity and logging are crucial, such as data tracking or auditing applications.

Canonical page: https://skillsregistry.net/skills/app-vercel-ora-x402-gateway-sensations-mergulho  
JSON: https://api.skillsregistry.net/v1/skills/app-vercel-ora-x402-gateway-sensations-mergulho

## Description

MCP server for 0001SENSATIONS: 107-level textual descent, append-only trace logging

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.vercel.ora-x402-gateway%2Fsensations-mergulho)
- **Repository:** <https://github.com/fomosdeimos-gif/orum-ora-x402>

## Use it

MCP endpoint published by the skill: `https://ywabnlhkmhbyewqhbsjm.supabase.co/functions/v1/sensations-mergulho`

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": "app-vercel-ora-x402-gateway-sensations-mergulho"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-vercel-ora-x402-gateway-sensations-mergulho` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-vercel-ora-x402-gateway-sensations-mergulho/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