# ai.sovantica/engrava

> ai.sovantica/engrava — ai-sovantica-engrava. Use this tool when you need to create a secure and transparent record of AI agent activities, as it provides a tamper-evident audit trail and embedded memory database for tracking MindQL and Action Records. This tool solves problems related to accountability, compliance, and explainability in AI decision-making, allowing for reliable monitoring and analysis of agent behavior. It accepts input from AI agents and outputs a secure, timestamped record of all activities, making it ideal for applications requiring high levels of transparency and trust.

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

## Description

Tamper-evident audit, MindQL, and Action Records — embedded memory database for AI agents.

## Trust

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

## Facts

- **Version:** 0.5.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-29

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.sovantica%2Fengrava)
- **Repository:** <https://github.com/sovantica/engrava-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": "ai-sovantica-engrava"
    }
  }
}
```

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