# UluVoiMCP

> Use this tool when you need to translate raw blockchain data into human-readable information about protocols, applications, and assets in the Voi ecosystem. It solves problems related to data interpretation, contract role identification, and registry data exploration, providing outputs such as resolved enVoi names and curated registry data. Ideal for use cases involving ecosystem services like HumbleSwap and Nautilus, where users require a semantic layer to navigate and understand complex blockchain data.

Canonical page: https://skillsregistry.net/skills/maidtoshelly-uluvoimcp  
JSON: https://api.skillsregistry.net/v1/skills/maidtoshelly-uluvoimcp

## Description

An MCP server that provides a semantic layer for the Voi ecosystem, translating raw blockchain data into human-readable information about protocols, applications, and assets. It enables users to identify contract roles, resolve enVoi names, and explore curated registry data for ecosystem services like HumbleSwap and Nautilus.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zxjq3qem5u)
- **Repository:** <https://github.com/MaidToShelly/UluVoiMCP>

## 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": "maidtoshelly-uluvoimcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maidtoshelly-uluvoimcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maidtoshelly-uluvoimcp/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