# schemabrain

> schemabrain — arun-kc-schemabrain. Use this tool when you need to securely connect AI agents to your production database, protecting sensitive data with a read-only SQL firewall and providing a semantic layer for querying. It solves problems of data security and access control, while also offering audit logging and native multi-cloud platform (MCP) support. Ideal for use cases requiring controlled data access, schemabrain accepts SQL queries as input and returns query results as output.

Canonical page: https://skillsregistry.net/skills/arun-kc-schemabrain  
JSON: https://api.skillsregistry.net/v1/skills/arun-kc-schemabrain

## Description

The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.

## Trust

- **Trust score (0–1):** 0.23
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Arun-kc/schemabrain)

## 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": "arun-kc-schemabrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arun-kc-schemabrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arun-kc-schemabrain/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