# ENYAL by Greenland AI

> Use this tool when you need to securely manage AI agent identities and memories, enabling encrypted query, recall, and provenance tracking to solve data privacy and security issues in AI applications. It provides a secure interface for storing and retrieving sensitive information, ensuring the integrity and transparency of AI decision-making processes. Ideal for use cases requiring high levels of data protection and auditability, such as in finance, healthcare, or government sectors.

Canonical page: https://skillsregistry.net/skills/ai-enyal-enyal  
JSON: https://api.skillsregistry.net/v1/skills/ai-enyal-enyal

## Description

ENYAL by Greenland AI — encrypted identity & memory for AI agents (query, recall, provenance)

## Trust

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

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.enyal%2Fenyal)

## Use it

MCP endpoint published by the skill: `https://mcp.enyal.ai/mcp`

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": "ai-enyal-enyal"
    }
  }
}
```

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

---
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
