# Model-Database-Protocol

> Model-Database-Protocol — dorukyelken-model-database-protocol. Use this tool when you need to securely access and manage databases for large language models (LLMs) with intent-based validation and policy enforcement. It solves problems related to data security, schema consistency, and access control, providing a reliable interface for LLMs to interact with databases. It takes in database queries and intent specifications as inputs and outputs validated, masked data through a secure protocol.

Canonical page: https://skillsregistry.net/skills/dorukyelken-model-database-protocol  
JSON: https://api.skillsregistry.net/v1/skills/dorukyelken-model-database-protocol

## Description

Model Database Protocol — intent-based, secure database access for LLMs with schema validation, policy engine, data masking, and MCP server support

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/DorukYelken/Model-Database-Protocol)

## 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": "dorukyelken-model-database-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dorukyelken-model-database-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dorukyelken-model-database-protocol/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