# SchemaBrain

> Use this tool when you need to establish a secure and intelligent connection between AI agents and your database, enabling trusted data exchange and insights. SchemaBrain solves data integration and security problems by providing a reliable interface for AI agents to access and utilize database information. It accepts database schema and AI agent requests as inputs and outputs optimized data queries and results.

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

## Description

The trust and intelligence layer between AI agents and your database.

## Trust

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

## Facts

- **Version:** 0.6.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-15

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Arun-kc%2Fschemabrain)
- **Repository:** <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": "io-github-arun-kc-schemabrain"
    }
  }
}
```

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